{"id":243765,"date":"2026-07-28T08:26:55","date_gmt":"2026-07-28T08:26:55","guid":{"rendered":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/?page_id=243765"},"modified":"2026-08-04T05:38:24","modified_gmt":"2026-08-04T05:38:24","slug":"research-seminars-2","status":"publish","type":"page","link":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/?page_id=243765","title":{"rendered":"Research Seminars"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; theme_builder_area=&#8221;post_content&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221;][et_pb_fullwidth_code _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; theme_builder_area=&#8221;post_content&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;]<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Poppins:wght@300;400;500;600;700&#038;display=swap\" rel=\"stylesheet\"><!-- [et_pb_line_break_holder] --><\/p>\n<style><!-- 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-->.csem-grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(320px,1fr));<!-- [et_pb_line_break_holder] -->  gap:20px;max-width:1180px;margin:0 auto;}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* card *\/<!-- [et_pb_line_break_holder] -->.csem-card{position:relative;background:var(--card);border:1px solid var(--line);<!-- [et_pb_line_break_holder] -->  border-radius:16px;padding:20px 20px 16px;display:flex;flex-direction:column;gap:14px;<!-- [et_pb_line_break_holder] -->  box-shadow:0 4px 18px rgba(40,20,70,.05);transition:transform .18s ease,box-shadow .18s ease;}<!-- [et_pb_line_break_holder] -->.csem-card:hover{transform:translateY(-3px);box-shadow:0 14px 30px rgba(40,20,70,.12);}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.csem-top{display:flex;align-items:center;gap:13px;}<!-- [et_pb_line_break_holder] -->.csem-avatar{width:58px;height:58px;border-radius:50%;flex:0 0 58px;object-fit:cover;<!-- [et_pb_line_break_holder] 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.csem-row:not(.csem-name){font-size:13px;color:var(--muted);}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.csem-title{margin:0;font-size:16px;font-weight:600;line-height:1.4;color:var(--ink);}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.csem-foot{margin-top:auto;display:flex;align-items:center;justify-content:space-between;<!-- [et_pb_line_break_holder] -->  gap:10px;padding-top:6px;border-top:1px solid var(--line);}<!-- [et_pb_line_break_holder] -->.csem-date{font-size:12.5px;color:#8a8f9c;}<!-- [et_pb_line_break_holder] -->.csem-date .csem-ic-w{color:var(--purple-soft);}<!-- [et_pb_line_break_holder] -->.csem-abtn{font-family:inherit;font-size:12.5px;font-weight:600;cursor:pointer;<!-- [et_pb_line_break_holder] -->  display:inline-flex;align-items:center;gap:6px;padding:7px 13px;border-radius:999px;<!-- [et_pb_line_break_holder] -->  border:1.5px solid var(--purple);background:#fff;color:var(--purple);transition:all .16s ease;}<!-- 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color:var(--purple);margin-bottom:10px;}<!-- [et_pb_line_break_holder] -->.csem-modal-title{margin:0 0 12px;font-size:21px;font-weight:700;line-height:1.3;color:var(--navy);<!-- [et_pb_line_break_holder] -->  padding-right:30px;}<!-- [et_pb_line_break_holder] -->.csem-modal-by{display:flex;flex-wrap:wrap;gap:6px 14px;font-size:13.5px;color:var(--muted);<!-- [et_pb_line_break_holder] -->  padding-bottom:16px;margin-bottom:18px;border-bottom:1px solid var(--line);}<!-- [et_pb_line_break_holder] -->.csem-modal-by b{color:var(--ink);font-weight:600;}<!-- [et_pb_line_break_holder] -->.csem-modal-body p{margin:0 0 13px;font-size:14.5px;line-height:1.72;color:var(--ink);font-weight:300;}<!-- [et_pb_line_break_holder] -->.csem-modal-sub{margin:22px 0 8px;font-size:11px;font-weight:600;letter-spacing:1.5px;<!-- [et_pb_line_break_holder] -->  text-transform:uppercase;color:var(--purple-soft);}<!-- [et_pb_line_break_holder] -->.csem-modal-bio p{font-size:13.5px;color:var(--muted);}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@media(max-width:600px){<!-- [et_pb_line_break_holder] -->  .csem-hero{padding:42px 18px 32px;}<!-- [et_pb_line_break_holder] -->  .csem-grid{grid-template-columns:1fr;}<!-- [et_pb_line_break_holder] -->  .csem-tabs{justify-content:flex-start;flex-wrap:nowrap;overflow-x:auto;<!-- [et_pb_line_break_holder] -->    -webkit-overflow-scrolling:touch;padding-left:18px;padding-right:18px;}<!-- [et_pb_line_break_holder] -->  .csem-tab{flex:0 0 auto;}<!-- [et_pb_line_break_holder] -->  .csem-modal-card{padding:28px 22px 24px;}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"csem-wrap\"><!-- [et_pb_line_break_holder] -->  <\/p>\n<header class=\"csem-hero\"><!-- [et_pb_line_break_holder] -->    <pee class=\"csem-eyebrow\">NYU Abu Dhabi &middot; Center for Cyber Security<\/pee><!-- [et_pb_line_break_holder] -->    <\/p>\n<h1>Cybersecurity Seminar Series<\/h1>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-rule\"><\/div>\n<p><!-- [et_pb_line_break_holder] -->    <pee class=\"csem-sub\">Weekly research talks on cybersecurity and many adjacent fields.<\/pee><!-- [et_pb_line_break_holder] -->  <\/header>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<nav class=\"csem-tabs\"><!-- [et_pb_line_break_holder] -->      <button class=\"csem-tab is-active\" data-term=\"AY 25-26\" type=\"button\">2026-2025<\/button><!-- [et_pb_line_break_holder] -->      <button class=\"csem-tab\" data-term=\"AY 24-25\" type=\"button\">2025-2024<\/button><!-- [et_pb_line_break_holder] -->      <button class=\"csem-tab\" data-term=\"AY 23-24\" type=\"button\">2024-2023<\/button><!-- [et_pb_line_break_holder] -->      <button class=\"csem-tab\" data-term=\"AY 22-23\" type=\"button\">2023-2022<\/button><!-- [et_pb_line_break_holder] -->  <\/nav>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-panel is-active\" data-term=\"AY 25-26\"><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-panel-head\">2026-2025 &middot; 22 talks<\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-grid\"><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/ting-yu.jpg\" alt=\"Prof. Ting Yu\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Ting Yu<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Mohamed bin Zayed University of Artificial Intelligence<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>14 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"21\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/yash-vekaria.jpg\" alt=\"Yash Vekaria\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Yash Vekaria<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of California, Davis<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Black-Box Audits of Personalization Ecosystems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>7 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"20\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/sihem-bouhenniche.jpg\" alt=\"Sihem Bouhenniche\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Sihem Bouhenniche<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Lille<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">EXADPrinter: Semi-Exhaustive Permissionless Device Fingerprinting Within the Android Ecosystem<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>30 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"19\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">JC<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Joshua Clarke<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Formalizing System-Level Measurement of Human Risk in Cybersecurity<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>26 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"18\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/julia-kieserman.jpg\" alt=\"Julia Kieserman\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Julia Kieserman<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU &#8211; NYC<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Tracker Installations Are Not Created Equal: Understanding Tracker Configuration of Form Data Collection<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>12 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"17\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/khaled-nabil-salama.jpg\" alt=\"Prof. Khaled Nabil Salama\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Khaled Nabil Salama<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>King Abdullah University of Science and Technology<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Advancing Monitoring Capabilities: The Role of Wearable Sensors in Advancing Healthcare, Environmental, and Marine Studies<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"16\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/guillermo-christensen.jpg\" alt=\"Guillermo Christensen\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Guillermo Christensen<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>K&amp;L Gates<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Ransomware and Cybercrime: How Cybercrime Groups Operate<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>28 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"15\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/youngkwang-han.jpg\" alt=\"Dr. Youngkwang Han\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Youngkwang Han<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Robust Verifiable Privacy-preserving ML Using Cryptographic and Hardware Guarantees<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"14\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/brian-wong.jpg\" alt=\"Prof. Brian Wong\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Brian Wong<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Hong Kong<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Ethics of AI and Geopolitics<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>11 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"13\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/subhash-lakshminarayana.jpg\" alt=\"Prof. Subhash Lakshminarayana\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Subhash Lakshminarayana<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Warwick<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">From Threats to Resilience: Strengthening Power Grids Against Cyber Risks in the Demand-Side Response Ecosystem<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>9 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"12\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/yi-fang.jpg\" alt=\"Prof. Yi Fang\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Yi Fang<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">How academic research in AI and robotics can evolve into impactful real-world solutions<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>27 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"11\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/martin-peresini.jpg\" alt=\"Martin Pere&#353;&#237;ni\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Martin Pere&#353;&#237;ni<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Brno University of Technology<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Securing the Blockchain Technology Stack: Wallets, Consensus, and Beyond<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>25 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"10\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/vahan-babushkin.jpg\" alt=\"Dr. Vahan Babushkin\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Vahan Babushkin<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Multimodal Approach to Writer Identification from Arabic Handwriting<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>20 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"9\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/ajith-suresh.jpg\" alt=\"Dr. Ajith Suresh\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Ajith Suresh<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Technology Innovation Institute<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">MPC Meets ML: Advancing Privacy-Preserving Machine Learning<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>6 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"8\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/pavlos-eleftheriadis.jpg\" alt=\"Prof. Pavlos Eleftheriadis\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Pavlos Eleftheriadis<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">CCS Seminar on the Tech Reg Lab Proposal, presented by Prof. Pavlos Eleftheriadis &amp; Prof. Winston Ma<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>30 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"7\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/adel-abusitta.jpg\" alt=\"Dr. Adel Abusitta\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Adel Abusitta<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Polytechnique Montr&#233;al<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Can Robust Defenses Be Secure? Rethinking AI Adversarial Protection<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"6\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/mathy-vanhoef.jpg\" alt=\"Prof. Mathy Vanhoef\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Mathy Vanhoef<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KU Leuven<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Remote Timing Attacks via TCP Timestamps: Attacks and Mitigations<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>16 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"5\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/rabia-tugce-yazicigil.jpg\" alt=\"Prof. Rabia Tugce Yazicigil\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Rabia Tugce Yazicigil<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Boston University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">The Circuit Frontier: Innovating and Expanding ASIC Solutions for Enhanced Biosensing<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>15 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"4\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/michele-guerra.jpg\" alt=\"Dr. Michele Guerra\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Michele Guerra<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Android user privacy and limitations of the current permission model: towards a contextualized and dynamic permission management system<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>9 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"3\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/varun-darshana-parekh.jpg\" alt=\"Varun Darshana Parekh\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Varun Darshana Parekh<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Pennsylvania State University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Thermal-Stress-Aware 2.5D Integration with Surrogates to enable Rapid Design Space Exploration<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>2 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"2\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/jimena-sofia-viveros-alvarez.jpg\" alt=\"Jimena Sof&#237;a Viveros &#193;lvarez\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Jimena Sof&#237;a Viveros &#193;lvarez<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>IQuilibriumAI<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">AI Safety and Governance in Practice: Insights from the Frontlines of International Policy<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"1\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/soumyadyuti-ghosh.jpg\" alt=\"Dr. Soumyadyuti Ghosh\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Soumyadyuti Ghosh<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Privacy-Enhancing Technologies for Smart Grid Metering Systems: Limitations and Practical Alternatives<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>18 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"0\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] -->      <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-panel\" data-term=\"AY 24-25\"><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-panel-head\">2025-2024 &middot; 27 talks<\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-grid\"><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/christos-laoudias.jpg\" alt=\"Dr. Christos Laoudias\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Christos Laoudias<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KIOS<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Human-centric cyber hygiene for raising cybersecurity and data privacy awareness: lessons<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"48\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/tamer-abdelaziz.jpg\" alt=\"Dr. Tamer Abdelaziz\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Tamer Abdelaziz<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Proactive Defense: Real-Time Detection of Malicious Ethereum Transactions<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>15 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"47\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#8a3a5b\">HA<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Heba Ahmad<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Dubai Government<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">A bit of both worlds: a career shaped by research and policy making<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>8 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"46\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/daniil-tiganov.jpg\" alt=\"Daniil Tiganov\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Daniil Tiganov<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Black Duck<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Application Security Testing at Black Duck<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>1 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"45\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/gabriel-falcao.jpg\" alt=\"Prof. Gabriel Falcao\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Gabriel Falcao<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Coimbra<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Rethinking Memory: Harnessing PiM to Eliminate the Data Wall in Modern Computing<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>24 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"44\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/debdeep-mukhopadhyay.jpg\" alt=\"Prof. Debdeep Mukhopadhyay\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Debdeep Mukhopadhyay<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Computer Security and Machine Learning: Miss or Match?<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>16 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"43\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/maria-mushtaq.jpg\" alt=\"Prof. Maria Mushtaq\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Maria Mushtaq<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Telecom Paris<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Expanding Microarchitectural Battlefield: The Invisible Threats (Side-Channel Attacks) Inside Our Processors<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>10 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"42\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/prithwish-basu-roy.jpg\" alt=\"Prithwish Basu Roy\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prithwish Basu Roy<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">NiLoPher: Breaking a Modern SAT-Hardened Logic-Locking Scheme via Power Analysis Attack<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>20 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"41\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/akashdeep-saha.jpg\" alt=\"Dr. Akashdeep Saha\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Akashdeep Saha<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">CODE: Circuit Obfuscation using Data Encryption<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>13 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"40\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/chloe-bakalar.jpg\" alt=\"Dr. Chlo&#233; Bakalar\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Chlo&#233; Bakalar<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Meta<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">AI Ethics<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>6 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"39\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/navajit-singh-baban.jpg\" alt=\"Dr. Navajit Singh Baban\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Navajit Singh Baban<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Securing Biochips Against IP Attacks with Advanced Authentication<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>30 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"38\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/antonio-sanfilippo.jpg\" alt=\"Dr. Antonio Sanfilippo\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Antonio Sanfilippo<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>QEERI<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">AI and Digitalization in Energy Management<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>24 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"37\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/navid-asadi.jpg\" alt=\"Dr. Navid Asadi\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Navid Asadi<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Florida<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Physical assurance for advanced packaging<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>18 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"36\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/anna-maria-mandalari.jpg\" alt=\"Prof. Anna Maria Mandalari\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Anna Maria Mandalari<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University College London<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Benchmarking IoT Devices: Privacy and Security Challenges in Emerging Connected Ecosystems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>9 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"35\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/zeng-wang.jpg\" alt=\"Zeng Wang\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Zeng Wang<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">OptiLock: Automated Optimization of Learning-Resilient Logic Locking<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"34\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/vijaykrishnan-narayanan.jpg\" alt=\"Prof. Vijaykrishnan Narayanan\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Vijaykrishnan Narayanan<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Pennsylvania State University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Accelerating Deep Learning Recommendation Models using Disaggregated Memories<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>28 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"33\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/vaibhav-kumar.jpg\" alt=\"Dr. Vaibhav Kumar\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Vaibhav Kumar<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Physical Layer Security for Integrated Sensing and Communication: Open Questions and Some Recent Results<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>21 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"32\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/sandra-siby.jpg\" alt=\"Prof. Sandra Siby\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Sandra Siby<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Towards better ad and tracker blocking on the web<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>14 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"31\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#0d7a8a\">YB<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Yazan Barbar<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>American University in Cairo<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Blockchain-Based Cyber-Attack Detection in Protective Relaying<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>7 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"30\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/emanuela-marasco.jpg\" alt=\"Prof. Emanuela Marasco\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Emanuela Marasco<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>George Mason University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Trustworthy Identity Verification: The Science of Who You Are<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>31 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"29\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/chinmay-hegde.jpg\" alt=\"Prof. Chinmay Hegde\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Chinmay Hegde<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Tandon<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">The Science of Benchmarking: Robust Approaches for Measuring Capabilities of AI in the Real World<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>24 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"28\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/eduardo-chielle.jpg\" alt=\"Eduardo Chielle\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Eduardo Chielle<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Recurrent Private Set Intersection for Unbalanced Databases with Cuckoo Hashing and Leveled FHE<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>17 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"27\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/karim-ali.jpg\" alt=\"Prof. Karim Ali\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Karim Ali<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>3 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"26\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/homer-gamil.jpg\" alt=\"Homer Gamil\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Homer Gamil<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Coalescion-based Acceleration of Polynomial Multiplication for GPU Execution<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>26 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"25\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/corban-villa.jpg\" alt=\"Corban Villa\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Corban Villa<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Reverse-Engineering and Jailbreaking Safety Filters in DALL&#183;E Text-to-Image Pipelines<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>19 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"24\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/abhinav-dhall.jpg\" alt=\"Dr. Abhinav Dhall\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Abhinav Dhall<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Flinders University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Human-Centric Approaches for Multimodal Deepfakes Analysis<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>12 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"23\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/rupesh-raj-karn.jpg\" alt=\"Dr. Rupesh Raj Karn\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Rupesh Raj Karn<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Selective Forgetting in Task-Progressive Learning through Machine Unlearning<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"22\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] -->      <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-panel\" data-term=\"AY 23-24\"><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-panel-head\">2024-2023 &middot; 22 talks<\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-grid\"><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/corban-villa.jpg\" alt=\"Corban Villa\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Corban Villa<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">ICS-QUARTZ: Scan Cycle-Aware and Vendor-Agnostic Fuzzing for Industrial Control Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>23 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"70\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/chun-jason-xue.jpg\" alt=\"Prof. Chun Jason Xue\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Chun Jason Xue<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Mohamed bin Zayed University of Artificial Intelligence<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">On Optimizing Mobile Memory and Storage<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>7 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"69\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/haiyan-jiang.jpg\" alt=\"Dr. Haiyan Jiang\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Haiyan Jiang<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Mohamed bin Zayed University of Artificial Intelligence<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">An Introduction to Spiking Neural Networks<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>21 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"68\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/damon-mccoy.jpg\" alt=\"Prof. Damon McCoy\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Damon McCoy<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Tandon<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Demystifying Social Media Feeds: A Taxonomy and Transparency for Algorithmic Feed Systems Designs<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>27 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"67\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/debdeep-mukhopadhyay.jpg\" alt=\"Prof. Debdeep Mukhopadhyay\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Debdeep Mukhopadhyay<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>IIT Kharagpur<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Every Contact Leaves a Trace&quot;: Side Channel and Micro-architectural Attacks on Modern Cryptosystems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"66\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/daniel-yao.jpg\" alt=\"Daniel Yao\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Daniel Yao<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Developing Machine Learning Models to Assess Cyber Risk in the Construction Industry: Addressing a Critical Gap in Cybersecurity<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>8 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"65\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/jeffrey-howard.jpg\" alt=\"Dr. Jeffrey Howard\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Jeffrey Howard<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University College London<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Moderation by Machine: The Ethics of Censorship by AI<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>1 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"64\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/syed-khandker.jpg\" alt=\"Dr. Syed Khandker\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Syed Khandker<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Advancing Aviation Security: Developing a Digital Signature-Based Secure ADS-B Communication System<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>11 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"63\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/eleanna-kafeza.jpg\" alt=\"Dr. Eleanna Kafeza\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Eleanna Kafeza<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Zayed University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Shapelet-based Classification for Identifying Hate Speech on Twitter Using Range Queries in Multidimensional Data Structures<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>14 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"62\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/murad-sanouri.jpeg\" alt=\"Murad Sanouri\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Murad Sanouri<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Avaya<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Securing Seamless Connections: Cybersecurity in Unified Communication and Contact Center Technologies<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>7 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"61\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/hazm-kemal-ekenel.jpg\" alt=\"Dr. Haz&#305;m Kemal Ekenel\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Haz&#305;m Kemal Ekenel<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Istanbul Technical University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Human Centered Computer Vision<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>23 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"60\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">KL<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. KC Lalropuia<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Evolutionary game model of unintentional malicious insider attacks<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>16 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"59\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/youngkwang-han.jpg\" alt=\"Dr. Youngkwang Han\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Youngkwang Han<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KAIST<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Crash-consistent Secure NVM in Energy Harvesting Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>9 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"58\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/sukanta-bhattacharjee.jpg\" alt=\"Dr. Sukanta Bhattacharjee\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Sukanta Bhattacharjee<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>IIT Guwahati<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Microfluidic Lab-on-a-Chip: Design Automation of Sample Preparation<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>2 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"57\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/manaar-alam.jpg\" alt=\"Dr. Manaar Alam\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Manaar Alam<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Double-Edged Sword of Backdoor Attacks in Federated Learning: Persistent Injection and Stealthy Removal<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>26 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"56\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/simon-see.jpg\" alt=\"Prof. Simon See\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Simon See<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NVIDIA AI Technology Center<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">The New frontier of Science Discovery : Machine Learning for Science<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>19 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"55\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/ruchit-agrawal.jpg\" alt=\"Dr. Ruchit Agrawal\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Ruchit Agrawal<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Birmingham Dubai<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">From Bag of Words to Large Language Models: Unveiling the power of generative AI for Natural Language Processing<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>12 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"54\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/hana-selmani.jpeg\" alt=\"Hana Selmani\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Hana Selmani<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">GNN4Circuits: A Unified Platform for Circuit Analysis and Prediction<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"53\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#5a6b2e\">KK<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Karl Kalinkewicz<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Seminar on Public Presentation Skills<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>28 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"52\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/likhitha-mankali.jpg\" alt=\"Likhitha Mankali\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Likhitha Mankali<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">VIGILANT: Vulnerability Detection Tool against Fault-Injection Attacks for Locking Techniques<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>21 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"51\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">OM<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Oleg Mazonka<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Discrete Gaussian Transformation in application to modular polynomial multiplication<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>14 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"50\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/lilas-alrahis.jpg\" alt=\"Dr. Lilas Alrahis\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Lilas Alrahis<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Graph Neural Networks for Hardware Vulnerability Analysis&#8211; Can you Trust your GNN?<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>7 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"49\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] -->      <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-panel\" data-term=\"AY 22-23\"><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-panel-head\">2023-2022 &middot; 30 talks<\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-grid\"><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">KL<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. KC Lalropuia<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Game theoretic modeling of malicious insider threats to Common Data Environment (CDE) in the AEC industry<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>8 Jun<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"100\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#6b46a8\">SK<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Siwar Kriaa<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">AI-based fake base stations detection<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>1 Jun<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"99\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/liang-niu.jpg\" alt=\"Liang Niu\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Liang Niu<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Privacy Leaks from Code Generation Language Models<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>18 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"98\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/constantine-doumanidis.jpg\" alt=\"Constantine Doumanidis\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Constantine Doumanidis<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>11 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"97\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/nian-xue.jpg\" alt=\"Nian Xue\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Nian Xue<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Bypassing Tunnels: Leaking VPN Client Traffic by Abusing Routing Tables<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>4 May<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"96\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">OM<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Oleg Mazonka<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Flexible Modular Multiplier<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>27 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"95\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/prashant-hari-narayan-rajput.jpg\" alt=\"Prashant Hari Narayan Rajput\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prashant Hari Narayan Rajput<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Hardware-Assisted Non-Intrusive Security Controls for Modern Industrial Control Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>13 Apr<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"94\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/semih-sonkor.jpg\" alt=\"Semih Sonkor\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Semih Sonkor<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Cybersecurity Aspects of Operational Technologies in Construction<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>30 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"93\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/mathy-vanhoef.jpg\" alt=\"Dr. Mathy Vanhoef\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Mathy Vanhoef<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KU Leuven<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Leaking &amp; Injecting Wi-Fi Traffic and the Ethics of Surveying Networks<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>23 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"92\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/damon-mccoy.jpg\" alt=\"Dr. Damon McCoy\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Damon McCoy<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Tandon<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Cart-ology: Intercepting Targeted Advertising via Ad Network Identity Entanglement<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>16 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"91\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/roger-dingledine.jpg\" alt=\"Roger Dingledine\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Roger Dingledine<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>The Tor Project<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">How Russia is trying to block Tor<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>15 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"90\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/anderson-rocha.jpg\" alt=\"Prof. Anderson Rocha\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Anderson Rocha<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of Campinas<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Artificial Intelligence meets Digital Forensics: a panorama<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>10 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"89\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/daniel-yao.jpg\" alt=\"Daniel Yao\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Daniel Yao<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">ChatGPT-like Large Language Model as Knowledge Base: Intelligent Cyber Risk Identification in Construction<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>2 Mar<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"88\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/navajit-singh-baban.jpg\" alt=\"Dr. Navajit Singh Baban\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Navajit Singh Baban<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Cyber-physical security of flow-based microfluidic biochips (FMBs) in the era of global pandemics<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>23 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"87\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">KL<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. KC Lalropuia<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Game theoretical modeling of EDoS attack in cloud computing<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>16 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"86\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/salim-el-rouayheb.jpg\" alt=\"Prof. Salim El Rouayheb\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Salim El Rouayheb<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Rutgers University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">How to Opt In and Out of Online Privacy: A 300 Billion Dollar Question<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>9 Feb<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"85\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/ajay-joshi.jpg\" alt=\"Prof. Ajay Joshi\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Ajay Joshi<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Boston University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">There and Back Again: Leveraging Photonics for Designing Computing Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Jan<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"84\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/karthik-nandakumar.jpg\" alt=\"Prof. Karthik Nandakumar\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Karthik Nandakumar<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>Mohamed bin Zayed University of Artificial Intelligence<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Security, Privacy and Trustworthiness in the AI World<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>15 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"83\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/elaheh-sadredini.jpg\" alt=\"Prof. Elaheh Sadredini\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Elaheh Sadredini<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>University of California, Riverside<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Enabling Fast and Energy-Efficient Cryptography in Edge with Data-Centric Computing<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>5 Dec<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"82\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/chiara-marcolla.jpg\" alt=\"Dr. Chiara Marcolla\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Chiara Marcolla<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>TII<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Introduction to Fully Homomorphic Encryption<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>24 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"81\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/moustafa-youssef.jpg\" alt=\"Prof. Moustafa Youssef\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Prof. Moustafa Youssef<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>American University in Cairo<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Quantum Computing for Location Determination Systems<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>17 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"80\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/yue-wang.jpg\" alt=\"Yue Wang\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Yue Wang<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">BACKDOOR ATTACKS AND DEFENSE IN TRAFFIC CONTROL SYSTEMS<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>3 Nov<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"79\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/shujaat-mirza.jpg\" alt=\"Shujaat Mirza\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Shujaat Mirza<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Tactics, Threat, &amp; Targets: Modeling Disinformation as a Cybersecurity Threat<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>27 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"78\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/eduardo-chielle.jpg\" alt=\"Dr. Eduardo Chielle\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Eduardo Chielle<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>20 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"77\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/jorge-david-de-hoz-diego.jpg\" alt=\"Dr. Jorge David de Hoz Diego\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Jorge David de Hoz Diego<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KAUST<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Security decoupling applied on Internet of Things applications<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>13 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"76\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/marc-dacier.jpg\" alt=\"Dr. Marc Dacier\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Marc Dacier<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>KAUST<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Defeating RESIP-based Web Scrapers by Looking at their Network Traces<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>6 Oct<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"75\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/lilas-alrahis.jpg\" alt=\"Dr. Lilas Alrahis\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Lilas Alrahis<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Graph Neural Networks for Hardware Security and Reliability<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>29 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"74\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/nisha-thorakkattu-madathil.jpg\" alt=\"Nisha Thorakkattu Madathil\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Nisha Thorakkattu Madathil<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>United Arab Emirates University<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">An Efficient and Privacy Preserving Algorithm for Federated Learning (FL)<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>22 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"73\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <img decoding=\"async\" class=\"csem-avatar\" src=\"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/wp-content\/uploads\/2026\/07\/johann-knechtel.jpg\" alt=\"Dr. Johann Knechtel\" loading=\"lazy\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Dr. Johann Knechtel<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">2.5D and 3D Integration &#8211; Another Dimension Toward Secure Hardware<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>15 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"72\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<article class=\"csem-card\"><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-top\"><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-avatar csem-avatar--ini\" style=\"background:#3f51b5\">OM<\/div>\n<p><!-- [et_pb_line_break_holder] -->            <\/p>\n<div class=\"csem-who\"><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row csem-name\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M20 21v-2a4 4 0 0 0-4-4H8a4 4 0 0 0-4 4v2\"\/><circle cx=\"12\" cy=\"7\" r=\"4\"\/><\/svg><\/span><span>Oleg Mazonka<\/span><\/span><!-- [et_pb_line_break_holder] -->              <span class=\"csem-row\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 21h18M5 21V9l7-5 7 5v12M9 21v-6h6v6\"\/><\/svg><\/span><span>NYU Abu Dhabi<\/span><\/span><!-- [et_pb_line_break_holder] -->            <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<h3 class=\"csem-title\">Fast Modular Multiplier<\/h3>\n<p><!-- [et_pb_line_break_holder] -->          <\/p>\n<div class=\"csem-foot\"><!-- [et_pb_line_break_holder] -->            <span class=\"csem-row csem-date\"><span class=\"csem-ic-w\"><svg class=\"csem-ic\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.8\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><rect x=\"3\" y=\"4\" width=\"18\" height=\"18\" rx=\"2\"\/><path d=\"M16 2v4M8 2v4M3 10h18\"\/><\/svg><\/span><span>8 Sep<\/span><\/span><!-- [et_pb_line_break_holder] -->            <button class=\"csem-abtn\" type=\"button\" data-i=\"71\">View Abstract<span class=\"csem-arrow\">&rarr;<\/span><\/button><!-- [et_pb_line_break_holder] -->          <\/div>\n<p><!-- [et_pb_line_break_holder] -->        <\/article>\n<p><!-- [et_pb_line_break_holder] -->      <\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div class=\"csem-modal\" id=\"csemModal\" hidden><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-modal-backdrop\" data-csem-close><\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<div class=\"csem-modal-card\" role=\"dialog\" aria-modal=\"true\" aria-labelledby=\"csemModalTitle\"><!-- [et_pb_line_break_holder] -->      <button class=\"csem-modal-x\" type=\"button\" data-csem-close aria-label=\"Close\">&times;<\/button><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-modal-eyebrow\">Abstract<\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<h3 class=\"csem-modal-title\" id=\"csemModalTitle\"><\/h3>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-modal-by\"><\/div>\n<p><!-- [et_pb_line_break_holder] -->      <\/p>\n<div class=\"csem-modal-body\"><\/div>\n<p><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><script><!-- [et_pb_line_break_holder] -->(function(){<!-- [et_pb_line_break_holder] -->  var root=document.querySelector('.csem-wrap');<!-- [et_pb_line_break_holder] -->  var tabs=root.querySelectorAll('.csem-tab');<!-- [et_pb_line_break_holder] -->  var panels=root.querySelectorAll('.csem-panel');<!-- [et_pb_line_break_holder] -->  tabs.forEach(function(t){<!-- [et_pb_line_break_holder] -->    t.addEventListener('click',function(){<!-- 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Existing approaches, including statistical and information-theoretic obfuscation and cryptographic methods, often struggle to balance privacy, accuracy, and efficiency in dynamic grid applications. This talk examines the limitations of existing solutions in the literature and introduces innovative alternatives that leverage differential privacy, multiparty computation, and homomorphic encryption while balancing computational efficiency, accuracy, and system stability to enable practical, real-time deployment of smart grid applications.\", \"bio\": \"Soumyadyuti recently submitted his PhD thesis in the Computer Science and Engineering Department of the Indian Institute of Technology Kharagpur under the guidance of Prof. Debdeep Mukhopadhyay and Prof. Soumyajit Dey. His PhD research primarily focused on privacy-preserving computations in smart grids. He was also a Visiting Research Scholar for a brief time in 2023 at New York University Abu Dhabi during his PhD. Prior to that, he earned his bachelor\u2019s degree in Computer Science and Engineering from Jadavpur University, India. He recently joined as a postdoctoral associate under Prof. Mihalis Maniatakos. His current research focuses on privacy-preserving computation using fully homomorphic encryption (FHE).\"}, {\"title\": \"AI Safety and Governance in Practice: Insights from the Frontlines of International Policy\", \"by\": \"Jimena Sof\u00eda Viveros \u00c1lvarez\", \"affil\": \"IQuilibriumAI\", \"date\": \"22 Sep\", \"abstract\": \"Jimena Sof\u00eda Viveros \u00c1lvarez, will share frontline insights from her extensive work in AI Governance across major international and regional bodies, addressing the critical challenges and opportunities in shaping the future of AI governance with a focus on human rights, and international peace and security. The seminar will provide comprehensive insights into regional and international bodies working on AI and emerging technologies, examining their roles, impact, and opportunities for academic and multistakeholder partnerships. Special attention will be given to the Cyber Peace Institute \u2013 where Ms. Viveros serves on the Advisory Board leading the convergence of AI and cyber\u2013 exploring its unique approach to providing cybersecurity assistance, threat detection and analysis whilst advocating for safety and security in cyberspace. This interdisciplinary presentation will bridge international law, human rights, ethics, and policy, offering valuable perspectives for computer scientists, social scientists, and students interested in the intersection of technology and global governance. The session will conclude with an interactive Q&A, exploring how academic research can directly impact international AI safety standards and governance, and contribute to building a more secure and equitable AI future.\", \"bio\": \"Ms. Viveros is a distinguished International Lawyer and Scholar; Trusted Expert and Senior Advisor on AI and Peace and Security; and an Advocate and leading voice for Sustainable Development in the Global South. She is the Founder, Managing Director and CEO of IQuilibriumAI, a Consultancy Firm specialized on AI and Peace, Security, Humanitarian, Environmental and Rule of Law issues, the President of the HumAIne Foundation and the Founder of the Global South Synergies and Resilience Platform, serving in different capacities across these fields to bolster scalable and expansive meaningful impact, with a special focus on the Global South and conflict and post conflict zones.\"}, {\"title\": \"Thermal-Stress-Aware 2.5D Integration with Surrogates to enable Rapid Design Space Exploration\", \"by\": \"Varun Darshana Parekh\", \"affil\": \"Pennsylvania State University\", \"date\": \"2 Oct\", \"abstract\": \"As compute density and bandwidth push beyond reticle limits, 2.5D heterogeneous\\nintegration has become a key enabler but it elevates thermal and mechanical constraints that\\ntraditional placement flows under-account. This talk presents thermal-stress-aware chiplet\\nplacement and fast temperature surrogate models that enable near realtime iteration, and\\nshows how these components integrate with FEA-in-the-loop evaluation for rapid design space exploration. It also introduces an RL-based floor planning framework that efficiently navigates large, constrained search spaces, improving exploration efficiency while co-optimizing layout choices under thermal and reliability constraints. The session concludes with open problems and practical directions for jointly optimizing performance and reliability in 2.5D systems.\", \"bio\": \"Varun Darshana Parekh is a Ph.D. student in Computer Science & Engineering at The\\nPennsylvania State University, working with Prof. Vijaykrishnan Narayanan. His research targets system-technology co-optimization for 2.5D heterogeneous integration, with an emphasis on chiplet placement for design space exploration. He has worked on AI for system design and analysis acceleration. Prior to Penn State, he completed an M.Tech. at IIT Goa and a B.Eng. in Mechanical Engineering at the University of Mumbai. He has mentored undergraduate research cohorts and serves as a reviewer and student member across IEEE\/ACM communities. Technical interests include EDA, packaging reliability, thermal modeling, and AI-assisted design flows.\"}, {\"title\": \"Android user privacy and limitations of the current permission model: towards a contextualized and dynamic permission management system\", \"by\": \"Dr. Michele Guerra\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"9 Oct\", \"abstract\": \"Mobile devices have become an integral part of everyday life, mediating access to countless services and generating vast amounts of personal data. Yet, the mechanisms that protect this data often fail to align with users\u2019 expectations and behaviors. This seminar explores privacy challenges in the Android ecosystem, combining empirical studies with end users and technical system design. Through user-centered investigations, we analyzed how individuals understand and react to privacy indicators, permission prompts, and background data access \u2014 revealing significant gaps in awareness, trust, and control. Motivated by these findings, our research introduces a context-aware and adaptive permission model that tailors access decisions based on user context, app behavior, and system signals. The model aims to improve both privacy protection and usability, reducing unnecessary prompts while maintaining transparency. By integrating insights from human-centered privacy research with AI-supported contextual analysis, this work demonstrates a holistic approach to rethinking permission management in Android \u2014 bridging the gap between user expectations and system enforcement.\", \"bio\": \"Michele Guerra is a Postdoctoral Associate at New York University Abu Dhabi, working in the Cyber Security and Privacy (CSP) Lab under the supervision of Prof. Christina P\u00f6pper. His research focuses on AI-driven mobile security, privacy-preserving systems, and 5G\/Open RAN security. He earned his Ph.D. in Computer Science from the University of Molise, Italy, where his dissertation explored context-aware permission models for enhancing Android user privacy. During his doctoral studies, he authored several peer-reviewed papers, presented his work at international conferences, and actively contributed as a reviewer within the research community. Michele has participated in multiple national and European-funded research projects, serving as Principal Investigator (PI) on some of them. He has also co-supervised more than 20 thesis projects and collaborated across interdisciplinary teams aimed at advancing user-centric privacy and security solutions. His current work seeks to bridge AI, mobile systems, and human-centered design to make digital ecosystems smarter, safer, and more privacy-aware.\"}, {\"title\": \"The Circuit Frontier: Innovating and Expanding ASIC Solutions for Enhanced Biosensing\", \"by\": \"Prof. Rabia Tugce Yazicigil\", \"affil\": \"Boston University\", \"date\": \"15 Oct\", \"abstract\": \"This talk will introduce Cyber-Secure Biological Systems, leveraging living sensors constructed from engineered biological entities seamlessly integrated with solid-state circuits. This unique synergy harnesses the advantages of biology while incorporating the reliability and communication infrastructure of electronics, offering a unique solution to societal challenges in healthcare and environmental monitoring. In this talk, examples of Cyber-Secure Biological Systems, such as miniaturized ingestible bioelectronic capsules for gastrointestinal tract monitoring and hybrid microfluidic-bioelectronic systems for environmental monitoring, will be presented.\\nAdditionally, I will introduce a universal noise-centric data decoding approach using GRAND\\nthat facilitates ultra-low-energy wireless communications, a critical requirement for the success of these biological systems and numerous other applications. In this talk, I will delve into the intricacies of interdisciplinary approach for system design, spotlighting the potential of energy- efficient integrated circuits in the domains of biosensing and wireless communications. These collaborative research projects involve MIT BE\/MechE, BU ECE\/BME, and MIT RLE- Northeastern University.\", \"bio\": \"Rabia Tugce Yazicigil is an Associate Professor of ECE Department at Boston University and a Network Faculty at Sabanci University. She was a Postdoctoral Associate at MIT and received her Ph.D. degree from Columbia University in 2016. Her research interests lie at the interface of integrated circuits, bio-sensing, signal processing, security, and wireless communications to innovate system- level solutions for future energy constrained applications. She has received numerous awards, including the NSF CAREER Award (2024), Early Career Excellence in Research Award for the Boston University College of Engineering (2024), the Catalyst Foundation Award (2021), Boston University ENG Dean Catalyst Award (2021), and \u201cElectrical Engineering Collaborative Research Award\u201d for her Ph.D. research (2016). Dr. Yazicigil is an active member of the Solid-State Circuits Society (SSCS) Women-in-Circuits committee and is a member of the 2015 MIT EECS Rising Stars cohort. She was selected as an IEEE SSCS and CASS Distinguished Lecturer for the 2024-2026 term and elected to the IEEE SSCS AdCom as a Member-at-Large in 2024. She was selected as a member of the 2024 National Academy of Engineering (NAE) US Frontiers of Engineering (USFOE) cohort. She serves as an Associate Editor of the IEEE Transactions on Circuits and Systems-I (TCAS-I) and the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI). Additionally, she is the Workshop Co-Chair of the IEEE ESSERC 2024, and a Technical Program Committee member of the IEEE ISSCC and RFIC.\"}, {\"title\": \"Remote Timing Attacks via TCP Timestamps: Attacks and Mitigations\", \"by\": \"Prof. Mathy Vanhoef\", \"affil\": \"KU Leuven\", \"date\": \"16 Oct\", \"abstract\": \"Want to learn how we were able to exploit a small timing leak in TLS half-way across the world? Then this talk is for you: the presentation covers our NDSS'26 paper where we introduce novel remote timing attacks that are unaffected by the jitter on the network path, making them several times more efficient than timing attacks based on the round-trip time, and allow for smaller timing differences to be detected. More specifically, the execution time is inferred from the TCP timestamp values that are generated by the server upon acknowledging the request and sending the response. We demonstrate cross-continental attacks against a TLS library and showcase user-enumeration attacks against FTP and SSH implementations.\", \"bio\": \"Mathy Vanhoef is a professor at KU Leuven in Belgium, where he researches network and software security across the full network stack. He was previously a PostDoc at NYUAD and is known for discovering the WPA2 KRACK attack and the WPA3 Dragonblood attack. He also collaborated with industry to design and standardize two new Wi-Fi defenses. One of these defenses, beacon protection, has been mandatory since Wi-Fi 7.\"}, {\"title\": \"Can Robust Defenses Be Secure? Rethinking AI Adversarial Protection\", \"by\": \"Dr. Adel Abusitta\", \"affil\": \"Polytechnique Montr\u00e9al\", \"date\": \"22 Oct\", \"abstract\": \"With AI being increasingly used across various domains\u2014including Internet of Things (IoT), healthcare, and transportation\u2014AI systems, particularly those based on deep learning, have been shown to be vulnerable to adversarial attacks that can deceive these systems. Although many defense methods have been proposed to mitigate this threat, these methods themselves can be attacked if known by adversaries. In such cases, attackers can craft adversarial examples that bypass the defenses and successfully compromise the AI solutions. Therefore, the key challenge is not only to design methods that defend against adversarial attacks in AI and machine learning but also to ensure that these defense mechanisms are themselves robust and secure. In this talk, we will provide an overview of existing mitigation approaches against adversarial attacks and highlight their limitations. We will also present our state-of-the-art methods for Defending Against Adversarial Attacks in AI with Secure Defense Mechanisms.\", \"bio\": \"Dr. Adel Abusitta is an Assistant Professor in the Department of Computer and Software Engineering at Polytechnique Montr\u00e9al. His research bridges the domains of Artificial Intelligence (AI) and Cybersecurity, focusing on advancing AI to enhance intelligent threat analysis and designing robust AI models resistant to adversarial attacks. He leads the Security and Trustworthy AI (STAI) Lab and is a member of the Multidisciplinary Institute for Cybersecurity and Cyber Resilience (IMC\u00b2). Dr. Abusitta actively collaborates with researchers at the Institute for Data Valorization (IVADO), the Quebec Artificial Intelligence Institute (MILA), and the Communications Security Establishment (CSE) Canada. Previously, he developed robust AI-powered malware analysis frameworks in collaboration with Defence Research and Development Canada (DRDC). He has also worked closely with industry partners to establish best practices for synthesizing sensitive data and enabling privacy-preserving machine learning without compromising model accuracy. Dr. Abusitta earned his Ph.D. in Computer Engineering from the University of Montreal and completed a postdoctoral fellowship at McGill University.\"}, {\"title\": \"CCS Seminar on the Tech Reg Lab Proposal, presented by Prof. Pavlos Eleftheriadis & Prof. Winston Ma\", \"by\": \"Prof. Pavlos Eleftheriadis\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"30 Oct\", \"abstract\": \"This session will focus on brainstorming and discussion around the development of a research program at NYU Abu Dhabi for the study of technology innovation, policy, governance, and regulation. Participants will have the opportunity to share ideas and provide feedback as we shape this initiative.\", \"bio\": \"\"}, {\"title\": \"MPC Meets ML: Advancing Privacy-Preserving Machine Learning\", \"by\": \"Dr. Ajith Suresh\", \"affil\": \"Technology Innovation Institute\", \"date\": \"6 Nov\", \"abstract\": \"Secure Multi-Party Computation (MPC) has emerged as a powerful cryptographic technique for privacy-preserving machine learning (PPML), enabling collaborative computation without exposing sensitive data. This talk introduces MPC in small-party settings (2PC, 3PC, and 4PC) and examines key aspects such as threat models and security guarantees. We will discuss secure outsourcing for machine learning, real-world MLaaS (Machine Learning as a Service) applications, and the evolution of PPML\u2014from simple linear regression models to Transformer inference. The session will also include a brief walkthrough of real-world implementations of PPML training and inference, including federated learning techniques developed within our PetalGuard framework.\", \"bio\": \"Ajith Suresh is a Lead MPC Researcher at The Technology Innovation Institute (TII), Abu Dhabi, and is affiliated with the Cryptography Research Center at TII. Previously, Ajith conducted 1.5 years of post-doctoral research at the Cryptography and Privacy Engineering (ENCRYPTO) group at the Department of Computer Science at the Technical University of Darmstadt under the supervision of Prof. Thomas Schneider. His research orbits around the the design and development of applied MPC protocols, alongside exploring the fields of privacy-preserving machine learning and federated learning.\"}, {\"title\": \"Multimodal Approach to Writer Identification from Arabic Handwriting\", \"by\": \"Dr. Vahan Babushkin\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"20 Nov\", \"abstract\": \"Writer identification is a process of determining the authorship of handwritten texts, which is important for applications in forensics, historical document analysis, and biometric security. Traditional writer identification methods often rely on images of handwritten documents and require extensive preprocessing, limiting their practicality. Additionally, the handwritten documents do not explicitly reflect hand kinematics features, thus omitting important individual handwriting patterns crucial for writer identification. This study presents a novel approach to writer identification from surface Electromyography (surface EMG) signals, hand, and stylus kinematics of Arabic handwriting. Surface EMG signals, together with hand and stylus kinematic features, were recorded from 50 participants as they wrote a short text sample. Four deep learning models were developed: one trained on hand kinematics, another on stylus kinematics, the third trained on combined hand and stylus kinematics features and the last one solely on surface EMG signals. The hand kinematics\u2013based model achieved the highest identification accuracy (91.32%), followed by the surface EMG model (90.74%, using only three electrodes), and the combined hand and stylus kinematics model (90.71%). All models substantially outperformed the stylus-only model, which achieved an accuracy of 74.10%. Additionally, interpretable machine learning techniques were used to reveal the most important features and electrodes for writer identification. These results highlight the potential for hand kinematics for robust writer identification, making it feasible to use with traditional handwriting tools, e.g. by tracking hand movements while writing with a standard pen. The proposed approach can be useful for applications in forensic analysis and biometric authentication.\", \"bio\": \"Vahan Babushkin received his BSc. in Electronics and Microelectronics from Slavonic University in 2010, MSc. in Computing and Information Science from Masdar Institute of Science and Technology in 2013, and PhD in Electrical and Computer Engineering from NYUAD in 2024. His research interests are in AI for Cybersecurity: he explores LLM applications for different cybersecurity tasks; and in Cybersecurity for AI: he studies internal mechanisms in LLMs to detect and mitigate vulnerabilities. His current research at Haven lab is focused on Cybersecurity applications of Small Language Models (SLMs) for edge devices.\"}, {\"title\": \"Securing the Blockchain Technology Stack: Wallets, Consensus, and Beyond\", \"by\": \"Martin Pere\u0161\u00edni\", \"affil\": \"Brno University of Technology\", \"date\": \"25 Nov\", \"abstract\": \"This talk, based on research from the Security@FIT lab, presents an end-to-end view of security in crypto ecosystems and a general overview of the research carried out in our group. We introduce a security reference architecture, a wallet taxonomy, trust-minimized zk-SNARK mobile wallets, and interoperable CBDC systems for atomic cross-ledger transfers. We then examine consensus protocols, including improvements of DoS resilience for PoS, a novel Proof-of-Useful-Work consensual protocol, and simulations of selfish mining and incentive attacks in PoW and PoW DAG-based systems. Finally, we explore AI and security, focusing on hardening LLM-based code generators through systematic prompt engineering, and addressing inherent AI risks in the era of deepfakes.\", \"bio\": \"Martin Pere\u0161\u00edni received his Master\u2019s degree in information technology security from the Brno University of Technology (BUT FIT) in 2020, where he is currently pursuing a Ph.D. in computer science and engineering. He is an active member of the Security@FIT research group within the Faculty of Information Technology, where his primary focus areas include blockchain security analysis, consensus protocols, and computer and network security. His broader research interests span system and device security, privacy-enhancing technologies, IoT networks and cyber-physical systems, machine learning and deepfake detection, LLMs, and advanced cryptographic technologies such as zero-knowledge proofs, homomorphic cryptography, and post-quantum cryptography.\"}, {\"title\": \"How academic research in AI and robotics can evolve into impactful real-world solutions\", \"by\": \"Prof. Yi Fang\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"27 Nov\", \"abstract\": \"In this seminar, Prof. Fang will share his research translation journey at NYU Abu Dhabi, focusing on how academic research in AI and robotics can evolve into impactful real-world solutions. Drawing from his experience founding ChatSign Technology and EZ247 AI , he will outline the complete pathway of translating laboratory research into successful commercial ventures\u2014from initial concept development and prototype design to technology validation, company formation, and market deployment. Prof. Fang will discuss the strategies his team employed to identify high-impact societal applications for AI, navigate the challenges of productization, and leverage NYUAD\u2019s unique innovation ecosystem, including its research infrastructure, cross-disciplinary collaboration, and entrepreneurship support. He will also reflect on the lessons learned in bridging the gap between academic innovation and societal need, offering practical insights for researchers aiming to translate their discoveries into tangible technologies that make a real difference.\", \"bio\": \"Yi Fang is a professor, engineer, and entrepreneur specializing in Embodied AI and Robotics. He is an Associate Professor of Computer Engineering and Computer Science at New York University Abu Dhabi (NYUAD), where he directs the Embodied AI and Robotics (AIR) Lab. He also serves as Co-Director of the Center for Interdisciplinary and Data Science at NYUAD and will, beginning in 2026, serve as Co-Director (AI Track) for the Center for AI and Robotics (CAIR). His research integrates perception, reasoning, and action to advance intelligent systems with broad applications across engineering, healthcare, and assistive technologies. He is the founder of ChatSign Technology , which originated from his NYUAD research and develops generative AI\u2013powered assistive devices for Deaf and Hard-of-Hearing individuals, and EZ247 AI , an agentic AI company that connects customers and service providers with greater efficiency.\"}, {\"title\": \"From Threats to Resilience: Strengthening Power Grids Against Cyber Risks in the Demand-Side Response Ecosystem\", \"by\": \"Prof. Subhash Lakshminarayana\", \"affil\": \"University of Warwick\", \"date\": \"9 Dec\", \"abstract\": \"This talk will highlight the cyber security threats from IoT-enabled energy smart appliances (ESAs) such as smart heat pumps, electric vehicle chargers, etc., to power grid operations. It will present an analysis of the demand side threats, including (i) an overview of the risks from the demand-side response (DSR) ecosystem, (ii) key factors influencing the attack impact on power grid operations, (iii) measures to improve the cyber-physical resilience of power grids, putting them in the context of ongoing efforts from the industry and regulatory bodies worldwide.\", \"bio\": \"Subhash Lakshminarayana is an Associate Professor at the University of Warwick. His research focusses on cybersecurity and the resilience of power grids, and the application of machine learning techniques for power grid security, optimization, and control. His work has garnered Best Conference Paper Award at IEEE SmartGridComm 2024 and recognition as one of the Top 5 papers published in IEEE Transactions on Smart Grids (TSG) for 2022. He is a Senior Member of IEEE and an Associate Editor of IEEE Transactions on Smart Grids (TSG). His work is funded by EPSRC, Innovate UK, and Horizon EU. Grants. He is a member of the UK Department for Energy Security and Net Zero (DESNZ\u2019s) Security Working Group.\"}, {\"title\": \"Ethics of AI and Geopolitics\", \"by\": \"Prof. Brian Wong\", \"affil\": \"University of Hong Kong\", \"date\": \"11 Dec\", \"abstract\": \"Artificial Intelligence (AI) is increasingly no longer viewed as just a passive tool in geopolitical analysis, but a precursor to possible paradigm shifts in how we conceptualise the competition and cooperation of global powers \u2013 large and small. Beyond the substantial possible benefits (opportunities) that it can set forth to economies, regulations, and governance, the rise of and recent developments in AI also unleashes a range of technological risks - materialising, accordingly, as substantive costs. Such risks also interact with geopolitical risks, thereby producing pernicious phenomena including dangerous rivalries between powerful states and non-state actors, the breakdown of global governance and cooperation over AI, and the fundamental weakening of the sovereign rights of collective peoples to self-determination under the rise of powerful tech firms and often opaque algorithms. The complexity and proliferation of these downstream risks is innately intertwined with the nature of AI vis-a-vis other technologies \u2013 which has not received proper attention in the limited existing literature. Indeed, few existing IR discourses sufficiently take seriously how geopolitical and AI risks are mutually compounding. This work proposes a tentative framework for conceptualising, interpreting, and ethically managing the geopolitical dividends and risks of AI. Our focus is on how non-state actors will shape the emerging geopolitical landscape.\\nThe rise of AI gives rise to a unique set of responsibilities on the part of global stakeholders across corporate, civil society, state, and inter-state levels. A new global ethic and encompassing regulatory (both legal and governmental) meta-framework is thus required to manage both the upsides and downsides \u2013 in ways cognisant of the geopolitical realities and the competing interests of governments, peoples, and corporations, but that are also conducive towards the unleashing of potential dividends embedded within AI. Fully understanding such dividends and risks requires more than descriptive-prescriptive analysis; it requires a normative appreciation of the nature of and related responsibilities and rights over them. This book thus advances two novel contributions to the global AI ethics literature - namely, a neo-Youngian structural injustice-centric account of responsibilities in relation to AI-induced injustices, and a global relational egalitarian account of access to AI.\\nSpeaker Bios:\\n- Brian Wong is an HKU-100 Assistant Professor in Philosophy at the University of Hong Kong (HKU). His research examines the ethics and dynamics of authoritarian regimes and their foreign policies, historical and colonial injustices, and the intersection of geopolitics, political and moral philosophy, and technology.\\n- Boris Babic is an Associate Professor of Data Science, Philosophy, and Law at the University of Hong Kong. He works primarily in ethics, law, and policy of artificial intelligence and machine learning, including generative AI. His research has appeared in Science, Nature Machine Intelligence, Nature Digital Medicine, and the Harvard Business Review. Join Zoom Meeting\\nhttps:\/\/nyu.zoom.us\/j\/94816494387?pwd=Owz6h5ohRTB64jIjCCcsQlKtQFMH0F.1\", \"bio\": \"\"}, {\"title\": \"Robust Verifiable Privacy-preserving ML Using Cryptographic and Hardware Guarantees\", \"by\": \"Dr. Youngkwang Han\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"22 Jan\", \"abstract\": \"While Fully Homomorphic Encryption (FHE) can guarantee strong confidentiality for privacy-preserving outsourced computations on potentially vulnerable server systems, FHE itself cannot verify the integrity of FHE ciphertext and FHE circuits evaluated on the server systems. To ensure the verifiability of FHE evaluations in a remote server, prior works integrated a hardware-based Trusted Execution Environment (TEE) solution with FHE evaluations. Hardware-based verifiable FHE solutions are more practical than math-based verifiable FHE solutions because they incur lower computational cost and support integrity verification for all homomorphic operations. However, prior work has not addressed the existing security issues in the TEEs, which enable forgery attacks on verifiable FHE.\\nFurthermore, prior works are typically designed using an application-based TEE, which is not suitable for FHE evaluations that require handling large amounts. Therefore, to achieve robust verifiable FHE that addresses the security vulnerabilities in the remote attestation of TEEs, we proposed a FHE-protected HMAC verification during remote attestation for each client to neutralize forgery attacks and to address the single point of failure inherent in managing the attestation key of TEEs. Additionally, for the first time, we presented a generalized methodology and comparison results of evaluating FHE + Machine Learning (ML) applications on attested virtualization-based and app-based TEEs.\", \"bio\": \"Youngkwang Han is a post-doc associate in the Center for Cyber Security at New York University Abu Dhabi. He earned his Ph.D. degree in Computer Science department at the Korea Advanced Institute of Science and Technology (KAIST). His research interests include a practical security solution for robust verifiable fully homomorphic encryption (FHE), energy-efficient hardware mechanisms for secure NVM in energy-harvesting systems, and a fully partitioned instruction-tracing hardware monitor for server system security.\\nDuring his Ph.D., he was a visiting researcher for 1 year at Purdue University, US, funded by the Institute for Information & Communication Technology Planning & Evaluation (IITP), and he is currently participating in the NYU-KAIST collaborative research.\"}, {\"title\": \"Ransomware and Cybercrime: How Cybercrime Groups Operate\", \"by\": \"Guillermo Christensen\", \"affil\": \"K&L Gates\", \"date\": \"28 Jan\", \"abstract\": \"Modern cybercrime has evolved into a sophisticated underground economy operating primarily on dark web marketplaces, where criminal organizations function with the same operational structures as legitimate businesses\u2014complete with customer service departments, affiliate programs, and quality assurance processes. Ransomware-as-a-Service (RaaS) has emerged as the dominant business model, allowing core developers to license their malware to affiliates who execute attacks in exchange for a percentage of ransom payments, dramatically lowering barriers to entry while enabling specialization across the criminal value chain. These groups employ a range of tactics including phishing campaigns, exploitation of unpatched vulnerabilities, and supply chain compromises, with many now practicing \\\"double extortion\\\" by both encrypting victim data and threatening to publish stolen information if ransoms go unpaid. The ecosystem includes initial access brokers who sell network footholds, bulletproof hosting providers, cryptocurrency mixing services for money laundering, and even underground arbitration forums for resolving disputes between criminals. Countering these threats requires a multi-layered approach combining technical defenses (network segmentation, offline backups, zero-trust architecture), international law enforcement cooperation to disrupt infrastructure and arrest operators, sanctions and financial measures targeting cryptocurrency wallets, public-private intelligence sharing, and policy debates over whether ransom payments should be prohibited to eliminate the profit incentive driving this criminal industry.\", \"bio\": \"Guillermo Christensen is a partner at K&L Gates, a law firm that assists industries globally. His main areas of focus are cybersecurity and data protection, AI export controls, CFIUS, and national security reviews of mergers, acquisitions, and investments. Previously, he was the managing law partner at Ice Miller, where he worked with data security and privacy. He also served as an intelligence officer, a diplomat with the U.S. Department of State, and a science and technology advisor to the U.S. Mission on Organization for Economic Cooperation and Development. Bio Video Video\"}, {\"title\": \"Advancing Monitoring Capabilities: The Role of Wearable Sensors in Advancing Healthcare, Environmental, and Marine Studies\", \"by\": \"Prof. Khaled Nabil Salama\", \"affil\": \"King Abdullah University of Science and Technology\", \"date\": \"5 Feb\", \"abstract\": \"This seminar examines the transformative impact of wearable sensor technologies across healthcare, environmental monitoring, and marine biology. In healthcare, these sensors enable continuous monitoring for enhanced patient care and disease management. Environmental applications range from real-time pollution monitoring to ecosystem management, while in marine biology, wearable sensors facilitate non-invasive studies of aquatic life. The discussion will highlight technological advancements in sensor miniaturization and energy efficiency, emphasizing the critical role of interdisciplinary collaboration in optimizing wearable technologies for diverse applications.\", \"bio\": \"Professor Khaled Nabil Salama serves as a professor of Electrical and Computer engineering. He earned his bachelor's degree with honors from Cairo University in 1997 and later completed his master's and doctoral degrees at Stanford University in 2000 and 2005, respectively. His early academic career included a position as an assistant professor at Rensselaer Polytechnic Institute before joining KAUST in 2009, where he was the founding program chair for Electrical Engineering until 2011. He was the director of KAUST sensors initiative between 2016-2021. Professor Salama's research is highly interdisciplinary, focusing on the development of devices, circuits, systems, and algorithms to facilitate inexpensive analytical platforms for industrial, environmental, and biomedical applications. He has made significant contributions to the field of low-power mixed-signal circuits for intelligent sensors and integrated biosensors. His work also extends into VLSI architectures for bio-imaging and instrumentation. More recently, he has been involved in pioneering neuromorphic circuits aimed at emulating brain functions. His scholarly output includes over 450 papers and 48 US patents.\"}, {\"title\": \"Tracker Installations Are Not Created Equal: Understanding Tracker Configuration of Form Data Collection\", \"by\": \"Julia Kieserman\", \"affil\": \"NYU - NYC\", \"date\": \"12 Feb\", \"abstract\": \"Targeted advertising is fueled by the comprehensive tracking of users' online activity. As a result, advertising companies, such as Google and Meta, encourage website administrators to not only install tracking scripts on their websites but configure them to automatically collect users' Personally Identifying Information (PII). In this study, we aim to characterize how Google and Meta's trackers can be configured to collect PII data from web forms. We first perform a qualitative analysis of how third parties present form data collection to website administrators in the documentation and user interface. We then perform a measurement study of 40,150 websites to quantify the prevalence and configuration of Google and Meta trackers.\\nOur results reveal that both Meta and Google encourage the use of form data collection and include inaccurate statements about hashing PII as a privacy-preserving method. Additionally, we find that Meta includes configuring form data collection as part of the basic setup flow. Our large-scale measurement study reveals that while Google trackers are more prevalent than Meta trackers (72.6% vs. 28.2% of websites), Meta trackers are configured to collect form data more frequently (11.6% vs. 62.3%). Finally, we identify sensitive finance and health websites that have installed trackers that are likely configured to collect form data PII in violation of Meta and Google policies. Our study highlights how tracker documentation and interfaces can potentially play a role in users' privacy through the configuration choices made by the website administrators who install trackers.\", \"bio\": \"Julia is a third-year PhD student at NYU New York advised by Damon McCoy. Most recently, she has worked on measuring the configuration of trackers on sensitive websites and the way users and content creators engage with the Character.AI platform. Prior to academia, she worked as a software engineer in the technology and non-profit sectors.\"}, {\"title\": \"Formalizing System-Level Measurement of Human Risk in Cybersecurity\", \"by\": \"Joshua Clarke\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"26 Mar\", \"abstract\": \"Cybersecurity systems rigorously model hardware faults, software vulnerabilities, and network-based threats. Human risk, however, is often addressed retrospectively or through awareness-based interventions rather than as a measurable system variable.\\nThis talk introduces a structured approach to formalizing human risk at the system level. The framework proposes measuring behavioral and cultural operating conditions that influence how security practices are carried out in real work. These signals are aggregated anonymously and translated into structured risk patterns to make condition-level risk formation visible without individual attribution.\\nThe session will outline the structural gap, measurement model, indexing logic, trust safeguards, and open technical questions related to validation, signal integrity, integration into broader risk architectures, and current limitations.\", \"bio\": \"Joshua Clarke is a final-year student at NYU Abu Dhabi, majoring in Business with a minor in Psychology. His work examines system-level measurement of human risk in cybersecurity, integrating behavioral systems thinking with risk modeling. He is the founder of PsychCyb, an early-stage platform exploring structured approaches to assessing operating conditions that influence security outcomes.\"}, {\"title\": \"EXADPrinter: Semi-Exhaustive Permissionless Device Fingerprinting Within the Android Ecosystem\", \"by\": \"Sihem Bouhenniche\", \"affil\": \"University of Lille\", \"date\": \"30 Apr\", \"abstract\": \"Android is the dominant mobile operating system, powering more\\nthan 70% of mobile devices and presenting a significant opportunity for user tracking. As privacy regulations tighten around how personal data can be used and collected, trackers are looking for alternatives that are under less scrutiny to evade detection. Device fingerprinting has emerged as a key solution, allowing trackers to create identifiers without user consent in a stealthy manner. Despite the extensive research on fingerprinting done from a web browser in the past decade, device fingerprinting on Android remains relatively understudied, with limited literature exploring its specific techniques and implications for user privacy.\\nIn this study, we introduce EXADPrinter, a novel semi-exhaustive permissionless device fingerprinting framework targeting Android devices. Without requiring permissions, our framework extracts over 200,000 properties per device by leveraging methods such as Java reflection and execution of shell commands. Through a dedicated Android application and a 13-month data collection, we gathered over 4,004 fingerprints coming from 3,143 different Android devices, covering 68 manufacturers and 9 Android versions ranging from 8 to 16.\\nThrough our framework, we demonstrate that diverse data can be collected about the hardware, the operating system and the user without requiring special permissions. We show that combining 5 attributes without any IDs or personal information is enough to identify 100% of devices of our dataset, painting a bleak picture of the current state of the Android ecosystem. Moreover, our framework highlights the negative impact of custom operating systems and manufacturer-specific customizations as they enhance the effectiveness of device fingerprinting. Furthermore, EXADPrinter uncovers some leakage of sensitive information caused essentially by manufacturer customizations, including the exposure of user emails, emergency contacts, and persistent identifiers such as SIM identifiers.\", \"bio\": \"Sihem Bouhenniche is pursuing a PhD. in cybersecurity at the University of Lille, with a focus on user privacy protection. Sihem's research centers around privacy and security issues related to mobile devices, particularly Android device fingerprinting.\"}, {\"title\": \"Black-Box Audits of Personalization Ecosystems\", \"by\": \"Yash Vekaria\", \"affil\": \"University of California, Davis\", \"date\": \"7 May\", \"abstract\": \"Modern digital ecosystems continuously observe and model users through complex pipelines that involve data collection, sharing, and its downstream use for profiling and personalization. However, users are often unaware of what data is collected about them, who it is shared with, what profiles are inferred, or how these profiles influence downstream decisions such as personalized advertisements, recommendations, or AI responses. These opaque data practices enable the aggregation and reuse of user's personal data across multiple contexts, creating privacy risks for the end users. The mechanisms governing these data flows are often black-box, making it inherently challenging to understand and quantify the underlying privacy risks. In this talk, I will present my research on large-scale, black-box auditing techniques to systematically uncover opaque data flows on the web and understand downstream consumer harms related to data collection, sharing and use. First, I will describe my work on reverse-engineering tracking technologies employed by websites to study \\\"data collection\\\" in digital ecosystems. Second, I will discuss the user centric approach at understanding downstream \\\"data sharing\\\" harms from brokerage and marketing. Finally, I will cover privacy risks associated with \\\"data use\\\" in modern AI-based ecosystems through my research on persona-guided audits of personalization in GenAI assistants.\", \"bio\": \"Yash Vekaria is a PhD candidate in the Department of Computer Science at University of California, Davis, where he is advised by Professor Zubair Shafiq. Broadly, his interests lie in privacy, security, and technology policy across modern digital ecosystems. His research focuses on uncovering hidden risks emerging from opaque data practices on the web and examining its implications for consumers. At a high level, he leverages internet measurement techniques and builds novel data-driven black-box audit systems to reverse-engineer opaque data and monetary flows on the Internet. His research has been published in top-tier security and privacy venues such as IEEE S&P, USENIX, and IMC. He is a recipient of the GGCS PhD Fellowship (2024) and Georgia Tech Cybersecurity Summer Fellowship (2023). Yash's research has also been featured in various global news media such as The New York Times, The Verge, The Times, Vox, and others and has contributed to multiple lawsuits against several companies that have engaged in unlawful consumer surveillance. He has also been invited by the Federal Trade Commission (FTC) to present his research to technologists, lawyers, and policymakers.\"}, {\"title\": \"Overcoming the Retrieval Barrier: Indirect Prompt Injection in the Wild for LLM Systems\", \"by\": \"Prof. Ting Yu\", \"affil\": \"Mohamed bin Zayed University of Artificial Intelligence\", \"date\": \"14 May\", \"abstract\": \"This talk explores indirect prompt injection in retrieval-based LLM systems, where malicious instructions hidden in external corpora can hijack model behavior once retrieved. While this threat has been recognized, its practical impact has been unclear because malicious content is often not retrieved under natural user queries.\\nWe show that this retrieval barrier can be overcome by separating an attack into two parts: a trigger fragment that makes the content retrievable and a payload fragment that encodes the malicious objective. Using this approach, we demonstrate reliable black-box attacks across diverse embedding models, benchmarks, RAG pipelines, and agentic systems. This work demonstrates that retrieval itself is a critical security boundary and remains an important open vulnerability for LLM applications.\", \"bio\": \"Ting Yu is a Professor in the Department of Computer Science at Mohamed bin Zayed University of Artificial Intelligence. He is also the director of MBZUAI\u2019s master's program in Applied AI (MAAI). His research focuses on data privacy and security, enterprise security analytics, and Internet security. Before joining MBZUAI, he held several research roles at Qatar Computing Research Institute and was a faculty member in Computer Science at North Carolina State University. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, and is a recipient of the NSF CAREER Award.\"}, {\"title\": \"Selective Forgetting in Task-Progressive Learning through Machine Unlearning\", \"by\": \"Dr. Rupesh Raj Karn\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"5 Sep\", \"abstract\": \"Task-progressive learning (TPL) entails training a model sequentially on multiple tasks while mitigating the phenomenon of \u201dcatastrophic forgetting\u201d, where new tasks erase previously learned knowledge. A TPL model can face security challenges, as some tasks are affected by so-called backdoors and adversarial attacks. These attacks exploit vulnerabilities in machine learning models by implanting malicious triggers or perturbing inputs to induce misclassification. This work explores the role of machine unlearning in TPL in countering those attacks. Two common architectures are considered: static and dynamic networks. In static architectures, each task is learned by applying weight update penalties through regularization without any change in neural architecture. In contrast, dynamic architectures expand the network for each task by freezing parameters. The potential for machine unlearning has been explored in each scenario to counteract the specified attacks. Specifically, the mechanisms for selective forgetting adapted to the TPL models to efficiently \u201dunlearn\u201d tasks compromised by backdoor and adversarial attacks have been demonstrated while preserving the knowledge of other tasks.\", \"bio\": \"Rupesh Raj Karn is a postdoctoral associate at the Center for Cyber Security, DfX Lab at New York University, Abu Dhabi, UAE. His research focuses on machine learning, FPGA implementation, logic encryption, and large language models. He earned his Ph.D. and Master\u2019s degrees from the Masdar Institute Campus, Khalifa University Abu Dhabi. His Ph.D. thesis, titled \u201cMachine Learning Methods for the Automated Management of Cloud Computing Workloads,\u201d was sponsored by IBM Research, Yorktown Heights, New York. He completed his undergraduate studies at Sardar Vallabhbhai National Institute of Technology, Surat, India.\"}, {\"title\": \"Human-Centric Approaches for Multimodal Deepfakes Analysis\", \"by\": \"Dr. Abhinav Dhall\", \"affil\": \"Flinders University\", \"date\": \"12 Sep\", \"abstract\": \"The growing accessibility of Generative AI based image and video manipulation tools has made the creation of deepfakes easier. This poses significant challenges for content verification and can spread misinformation. In this talk, we explore multimodal approaches that are inspired from user behavior for detecting and localizing manipulations in time. Our research draws on user studies, including those focusing on multicultural deepfakes, which provide insights into how different audiences perceive and interact with manipulated media. We discuss the findings from the ACM Multimedia 2024 One Million Deepfakes Detection benchmark. These insights give directions for future works in the area of deepfakes analysis.\", \"bio\": \"Abhinav Dhall is an Associate Professor (Reader) of Computer Science at Flinders University, Australia. He has previously worked at Monash University and Indian Institute of Technology Ropar. He received a PhD in Computer Science from the Australian National University. His research focuses on affective computing and human-centered computing. His work has received several awards, including the Ten-Year Technical Impact Runner-Up at ACM ICMI 2023, NASSCOM Lab2Market 2021 winners, and best paper awards such as the Best Student Paper Honorable Mention at FG 2024, Best Doctoral Consortium Paper Award at ACM ICMR 2013, and Best Paper Nomination Award at IEEE ICME 2012. He is also an Associate Editor for IEEE Transactions on Affective Computing.\"}, {\"title\": \"Reverse-Engineering and Jailbreaking Safety Filters in DALL\u00b7E Text-to-Image Pipelines\", \"by\": \"Corban Villa\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"19 Sep\", \"abstract\": \"We investigate the specific design and implementation of safety guardrails in black-box text-to-image (T2I) models, such as DALL\u00b7E, which are implemented to prevent potential misuse from generating harmful image content. Specifically, we introduce a novel timing-based side-channel analysis approach to reverse engineer the safety mechanisms of DALL\u00b7E models. By measuring and analyzing the differential response times of these systems to carefully crafted adversarial prompts, we uncover the existence and architecture of previously unknown cascading safety filters at various stages of the generation pipeline. Our analysis reveals key differences between the safety mechanisms of DALL\u00b7E 2 and DALL\u00b7E 3: DALL\u00b7E 2 uses blocklist-based filtering, whereas DALL\u00b7E 3 employs an LLM-based prompt revision stage to improve image quality and filter harmful content. We find discrepancies between the LLM's language understanding and the CLIP embedding used for image generation. Exploiting this gap, we develop a negation-based jailbreaking attack that bypasses DALL\u00b7E 3 guardrails by manipulating prompts. We further uncover gaps in the multilingual coverage of safety measures, which render DALL\u00b7E 3 vulnerable to a new class of low-resource language attacks. Our findings emphasize the challenges of aligning the diverse components of multimodal AI systems and highlight the need to improve the consistency and robustness of safety measures across the entire T2I pipeline.\", \"bio\": \"Corban Villa is a dedicated undergraduate at New York University Abu Dhabi, pursuing a major in Computer Science with an emphasis on Cybersecurity and a minor in Mathematics. Passionate about research, Corban is particularly interested in security & privacy: Specifically critical infrastructure and machine learning security.\"}, {\"title\": \"Coalescion-based Acceleration of Polynomial Multiplication for GPU Execution\", \"by\": \"Homer Gamil\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"26 Sep\", \"abstract\": \"In this study, we introduce Coala, a novel framework designed to enhance the performance of finite field transformations for GPU environments. We have developed a GPU- optimized version of the Discrete Galois Transformation (DGT), a variant of the Number Theoretic Transform (NTT). We introduce a novel data access pattern scheme specifically engineered to enable coalesced accesses, significantly enhancing the efficiency of data transfers between global and shared memory. This enhancement not only boosts execution efficiency but also optimizes the interaction with the GPU\u2019s memory architecture. Additionally, Coala presents a comprehensive framework that optimizes the allocation of computational tasks across the GPU\u2019s architecture and execution kernels, thereby maximizing the use of GPU resources. Lastly, we provide a flexible method to adjust security levels and polynomial sizes through the incorporation of an in-kernel RNS method, and a flexible parameter generation approach. Comparative analysis against current state-of-the-art techniques reveals significant improvements. We observe performance gains of 2.82\u00d7 - 17.18\u00d7 against other DGT works on GPUs for different parameters, achieved concurrently with equal or lesser memory utilization. Index Terms\u2014GPU, DGT, NTT, FHE, Polynomial Multiplication, Finite Field Transformations, Hardware Acceleration.\", \"bio\": \"Homer Gamil is Ph.D. candidate at New York University. He holds a bachelor degree in Computer Engineering from the New York University Abu Dhabi. His research interests are in cybersecurity and applied cryptography, with a special focus in hardware security and privacy outsourcing.\"}, {\"title\": \"Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities\", \"by\": \"Prof. Karim Ali\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"3 Oct\", \"abstract\": \"Software vulnerabilities are ubiquitous and costly. To detect vulnerabilities earlier during development, organizations deploy a set of static analyzers to locate and eventually fix these vulnerabilities before releasing their software. Due to the prohibitive cost of running all available analyzers, organizations must run only a subset of all possible analyzers on their codebases. Choosing this set deterministically leaves recognizable gaps of vulnerability coverage. To overcome these challenges, we present Randomized Best Response (RBR), a method that computes an optimal randomization over size-bounded sets of available static analyzers. RBR models the relationship between malicious users and organizations as a leader-follower Stackelberg security game. Our solution focuses on software vulnerabilities due to their security implications when exploited by malicious users. Using 8 static analyzers for C\/C++ and 8 Common Weakness Enumeration (CWE) vulnerability types, we show that RBR outperforms a set of natural baselines by always picking analyzers that achieve a higher benefit to the defender. Through a case study of a large system at Oracle, we show how RBR may be used in a real-world scenario.\", \"bio\": \"Karim Ali is an Associate Professor of Computer Science at NYUAD. He received his PhD from the University of Waterloo in 2014 and worked as a postdoctoral researcher in TU Darmstadt for approximately two years. Before joining NYUAD, Dr. Ali was an Associate Professor in the Department of Computing Science at the University of Alberta. Dr. Ali's lab conducts research on programming languages, particularly in scalability, precision, and usability of program analysis tools. His work ranges from developing new theories for scalable and precise program analyses to applications of program analysis in security and just-in-time compilers. In recognition of his research contributions in the field, Dr. Ali has been awarded the Dahl-Naygaard Junior Prize in 2021. He has also received two distinguished paper awards from ACM SIGSOFT and ACM SIGPLAN.\"}, {\"title\": \"Recurrent Private Set Intersection for Unbalanced Databases with Cuckoo Hashing and Leveled FHE\", \"by\": \"Eduardo Chielle\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"17 Oct\", \"abstract\": \"A Private Set Intersection (PSI) protocol is a cryptographic method allowing two parties, each with a private set, to determine the intersection of their sets without revealing any information about their entries except for the intersection itself. While extensive research has focused on PSI protocols, most studies have centered on scenarios where two parties possess sets of similar sizes, assuming a semi-honest threat model. However, when the sizes of the parties' sets differ significantly, a generalized solution tends to underperform compared to a specialized one, as recent research has demonstrated. Additionally, conventional PSI protocols are typically designed for a single execution, requiring the entire protocol to be re-executed for each set intersection. This approach is suboptimal for applications such as URL denylisting and email filtering, which may involve multiple set intersections of small sets against a large set (e.g., one for each email received). In this study, we propose a novel PSI protocol optimized for the recurrent setting where parties have unbalanced set sizes. We implement our protocol using Levelled Fully Homomorphic Encryption and Cuckoo hashing, and introduce several optimizations to ensure real-time performance. By utilizing the Microsoft SEAL library, we demonstrate that our protocol can perform private set intersections in 20 ms and 240 ms on 10 Gbps and 100 Mbps networks, respectively. Compared to existing solutions, our protocol offers significant improvements, reducing set intersection times by one order of magnitude on slower networks and by two orders of magnitude on faster networks.\", \"bio\": \"\"}, {\"title\": \"The Science of Benchmarking: Robust Approaches for Measuring Capabilities of AI in the Real World\", \"by\": \"Prof. Chinmay Hegde\", \"affil\": \"NYU Tandon\", \"date\": \"24 Oct\", \"abstract\": \"Modern AI systems are truly general purpose tools: they are trained in a task-agnostic manner, and therefore are applicable to a wide range of real-world use cases. However, this general purpose nature makes it difficult to provide reliability estimates for AI in specific applications and contexts. Even more challenging is the fact that today's best AI models are closed-data and closed-source, and it is near-impossible to check whether they are simply regurgitating answers that have been memorized, or whether they can generalize to novel settings.\\nIn this talk, I will advocate model metrology -- the practice of robust, persistent benchmarks for measuring AI capabilities -- as a scientific discipline in its own right. I will give a quick overview of our efforts in building benchmarks in diverse use cases --- large language models, databases, agriculture and plant science, transportation analytics, and computational fluid dynamics --- and the lessons we learned along the way. I will discuss best practices for training data curation, and methods to detect and mitigate memorization in AI models. I will conclude by discussing challenges that may lie ahead in benchmarking research and how we might resolve them.\", \"bio\": \"Chinmay Hegde is an Associate Professor at NYU, jointly appointed with the CSE and ECE Departments. Previously, he held assistant professor positions at NYU and Iowa State University. His research focuses on foundational aspects of AI (including correctness, robustness, efficiency, and privacy). He also works on diverse applications of AI in engineering domains ranging from computational imaging, materials informatics, plant science, and cybersecurity. He is a recipient of the National Science Foundation's CAREER and CRII awards, two teaching awards, the Black and Veatch Faculty Fellowship, and best paper awards at ICML, SPARS, and MMLS. He is a Senior Member of the IEEE.\"}, {\"title\": \"Trustworthy Identity Verification: The Science of Who You Are\", \"by\": \"Prof. Emanuela Marasco\", \"affil\": \"George Mason University\", \"date\": \"31 Oct\", \"abstract\": \"Biometric technologies are increasingly adopted for identity verification in critical applications, yet several concerns persist, leading to mistrust. Trust hinges on system performance, security, fairness,\\nexplainability, and privacy. Issues such as demographic differentials and susceptibility to presentation\\nattacks steer research toward developing unbiased, secure biometric representations and exploring new\\nmodalities and sensor types for capturing biometric data. Hyperspectral imaging (HSI), combining\\nimaging with spectroscopy, offers innovative potential for human identity. As mobile biometrics rapidly\\nevolve and become more accessible, this talk will explore new, low-cost methods to unlock smartphones and securely safeguard sensitive data.\", \"bio\": \"Emanuela Marasco is an Assistant Professor in the Department of Information Sciences and Technology and a faculty member at the Center for Secure Information Systems at George Mason University. Her research focuses on computer vision, biometrics, and cybersecurity, with particular interest in mobile biometrics and hyperspectral technologies. Her contributions span anti-spoofing, demographic differential estimation, and biometric-based multi-factor authentication. She has published around 50 papers in conferences, workshops, and journals. Dr. Marasco has received two NSF EAGER awards for her pioneering work on hyperspectral biometrics and has served as principal investigator on several grants funded by the Commonwealth Cyber Initiative (CCI). She has also collaborated on multiple projects supported by NSF, DOJ, and DHS.\"}, {\"title\": \"Blockchain-Based Cyber-Attack Detection in Protective Relaying\", \"by\": \"Yazan Barbar\", \"affil\": \"American University in Cairo\", \"date\": \"7 Nov\", \"abstract\": \"The advancement of power networks worldwide has surged significantly due to extensive infrastructure growth. Concerns surrounding system failure and data communication have gained notable attention in recent years as both are crucial elements to ensure the reliable and efficient operation of the power grid. Consequently, there is a pressing need to develop effective cyber- immunity solutions to support the system\u2019s energy security and tackle cyber threats. To address\\nthese vulnerabilities, emerging technologies such as blockchain offer promising solutions. Blockchain is a secure, decentralized, and trusted cyber infrastructure solution with great promise for future energy systems. This work introduces an Ethereum blockchain-based model designed to detect and localize false data injection (FDI) attacks on directional overcurrent protection relays (DOCRs) by utilizing the abilities of smart contract action execution.\", \"bio\": \"Yazan Barbar is pursuing an MSc in Electrical Engineering at the American University of Sharjah, where he works as a Graduate Research and Teaching Assistant. He received his BSc in Electrical Engineering with honors (Summa Cum Laude) from Abu Dhabi University in June 2023. Yazan secured top placements in the Undergraduate Research Competition and the Global Electric Vehicle Challenge. He also contributed to the Mubadala-Abu Dhabi University Collaborative Project and participated in the Emirates Global Aluminum Challenge. His research focuses on smart grid security, power system protection, and energy management systems.\"}, {\"title\": \"Towards better ad and tracker blocking on the web\", \"by\": \"Prof. Sandra Siby\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"14 Nov\", \"abstract\": \"The pervasive nature of the online advertising and tracking ecosystem raises privacy concerns and impacts user experience. Current countermeasures, such as ad-blocker extensions or in-browser privacy tools, often rely on manually curated filter lists which suffer from scalability and accuracy issues. In this talk, I will present some of our work in developing automated tools to assist in ad\/tracker detection and blocking. I will discuss the challenges and possible solutions for building detectors that can not only keep up with constantly evolving tracker behaviors but also cause minimal disruption to user experience.\", \"bio\": \"Sandra Siby is an Assistant Professor of Computer Engineering at NYU Abu Dhabi. Her research goal is to provide individuals with better control over their privacy and protection from digital threats. Prior to joining NYU Abu Dhabi, she was a postdoc at Imperial College London. She received her Ph.D. from EPFL, her M.S. from ETH Zurich, and her B.Eng from the National University of Singapore. Her current areas of focus are security and privacy mechanisms for the web\/IoT\/other emerging technologies, and the deployment of trusted and private machine learning on edge devices.\"}, {\"title\": \"Physical Layer Security for Integrated Sensing and Communication: Open Questions and Some Recent Results\", \"by\": \"Dr. Vaibhav Kumar\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"21 Nov\", \"abstract\": \"With the advent of new applications\/technologies like autonomous vehicles, smart cities, UAVs, remote health monitoring, smart manufacturing, and industrial IoT, the sixth generation (6G) wireless standard is anticipated to bring a major shib from previous generations. Enabling these services will require seamless communication and integration of sensing functionalities within a single transmission, a single device, and, ultimately, within a uni\ufb01ed network infrastructure. This need has sparked signi\ufb01cant recent interest in integrated sensing and communication (ISAC) research. However, merging these two distinct services introduces various security and privacy challenges. In this talk, we will explore some of these challenges in-depth, along with potential solutions from a physical layer perspective, utilizing tools from information theory, signal processing, wireless communications, and convex optimization theory.\", \"bio\": \"Dr. Kumar earned his PhD in Wireless Communications from University College Dublin (UCD), Ireland, in 2020. Following his PhD, he worked as a postdoctoral researcher at UCD \u2013 Ireland, where he concentrated on designing beamforming solutions for recon\ufb01gurable intelligent surface (RIS)-enabled MIMO wireless systems. Since September 2023, he has been with the Wireless Research Lab at NYU Abu Dhabi, focusing on developing physical layer security solutions for integrated sensing and communication (ISAC) systems.\\nHe received the prestigious Erasmus grant during his PhD and the Best Paper award at IEEE GLOBECOM 2021 in the Communication and Information System Security Symposium. He was also recognized with an exemplary reviewer certi\ufb01cate from IEEE Communications LeZers in 2021. He serves as an Area Editor for Elsevier\u2019s Physical Communication Journal.\"}, {\"title\": \"Accelerating Deep Learning Recommendation Models using Disaggregated Memories\", \"by\": \"Prof. Vijaykrishnan Narayanan\", \"affil\": \"Pennsylvania State University\", \"date\": \"28 Nov\", \"abstract\": \"Deep Learning Recommendation model (DLRM) workloads form a critical share of modern day data centers. As the size and complexity of the models increases, the memory system becomes a key bottleneck. The emergence of CXL-based memories provides an opportunity to enhance both memory capacity and bandwidth in addressing this bottleneck. However, the increased latency associated with these CXL memories pose a challenge. In this talk, I will show case a coordinated combination of hardware and software innovations to support DLRM workloads.\", \"bio\": \"Vijay Narayanan is an Evan Pugh University Professor and Robert A Noll Chair of Computer Science and Engineering at The Pennsylvania State University. His research interests are in Computer Architecture, Embedded Systems and Design using emerging device and packaging technologies. He has received the 2021 IEEE Computer Society Edward J. McCuskey Award, 2021 IEEE Computer Society TCVLSI Distinguished Research Award, 2022 ACM SIGDA Distinguished Service Award and the 2020 Northeastern Association of Graduate Schools Geoffrey Marshall Mentoring Award. He is a Fellow of the National Academy of Inventors, IEEE, ACM and AAAS.\"}, {\"title\": \"OptiLock: Automated Optimization of Learning-Resilient Logic Locking\", \"by\": \"Zeng Wang\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"5 Dec\", \"abstract\": \"Logic locking aims to protect the intellectual property of circuits through the global semiconductor supply chain. However, its security has been threatened by advanced Machine Learning (ML)-based attacks, especially in the cases of oracle-less attack models. A manual security analysis and defense design is ineffective in countering these attacks and supporting all circuit types. Therefore, we introduce OptiLock, a logic locking approach that utilizes metaheuristic optimization to automatically design a resilient logic locking scheme. OptiLock enhances logic locking resilience against advanced attacks through guided key-controlled adjustments, eliminating the need for a designer-specified, manual defense strategy. Additionally, we utilize a multi-objective optimization procedure to enhance security while reducing implementation overheads. Through this method, OptiLock can reduce the original delay overhead by an average of 118.15%. Our case study of experiments on Multiplexer-based logic locking using ISCAS-85, ITC-99, EPFL and Ariane RISC-V core benchmarks shows that OptiLock maintains a random-guessing level resilience against the state-of-the-art oracle-less ML attack, MuxLink. We further demonstrate that OptiLock thwarts other structural oracle-less attacks, including the SCOPE, SnapShot, Redundancy, and Resynthesis attack, highlighting the versatility and robustness of our methodology. Moreover, OptiLock can guide the Multiplexer-based logic locking against SCOPE and SAAM attacks directly on the ISCAS-85, ITC-99, EPFL, and Ariane RISC-V core benchmarks. OptiLock also shows its random-guessing resilient ability of X(N)OR-based logic locking using ISCAS-85 benchmarks against the corresponding oracle-less ML attack, OMLA.\", \"bio\": \"Zeng Wang received the M.Sc. degree in Electrical Engineering from the University of Southern California, Los Angeles, CA, USA. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, USA. He is also a Global Ph.D. Fellow with New York University Abu Dhabi, UAE. His research interests include hardware security, logic locking, and ML for developing design for trust solutions.\"}, {\"title\": \"Benchmarking IoT Devices: Privacy and Security Challenges in Emerging Connected Ecosystems\", \"by\": \"Prof. Anna Maria Mandalari\", \"affil\": \"University College London\", \"date\": \"9 Dec\", \"abstract\": \"The proliferation of IoT devices has revolutionized industries, homes, and cities, creating interconnected ecosystems that promise efficiency and innovation. However, this rapid adoption has also introduced significant challenges related to privacy and security. Benchmarking IoT devices for their privacy and security capabilities is essential to ensure that they meet the stringent requirements of modern digital environments. This talk explores the critical challenges in evaluating IoT devices, focusing on issues such as privacy risks and resilience against cyberattacks. It will also highlight the complexities of establishing standardized benchmarks in a diverse and evolving IoT landscape, where devices differ vastly in design, function, and resource capabilities. Through real-world examples and case studies, we will discuss the gaps in existing methodologies, emerging threats, and the role of regulatory frameworks and collaborative efforts in creating robust benchmarking practices.\", \"bio\": \"Anna Maria Mandalari works as Assistant Professor at University College London (UCL). She is affiliated with the Electronic and Electrical Engineering Department, where she also is the Internet Engineering\/Telecommunications MSc Programme Director. She is Honorary Research Fellow at the Institute for Security Science and Technology at Imperial College London, Visiting Assistant Professor at Yokohama National University and expert fellow of the UK SPRITE+ Hub. She is Executive Steering Board Member of the IoT Security Foundation. She has been nominated Member of the Italian Technical Secretariat of the Committee for strategies on the use of AI. She obtained her PhD within the framework of the METRICS project, which is part of the Marie Sk\u0142odowska-Curie action, intended for excellent researchers, affiliated with the Carlos III University of Madrid. Her research interests are Internet of Things (IoT), privacy, security, networking and Internet measurement techniques. She studies privacy implications and information exposure from IoT devices. She works on the problem of modelling, designing, and evaluating adaptation strategies based on Internet measurements techniques. In addition to her research, Anna gives invited talks all around the world to promote research and create awareness on security, privacy, and ethical AI. Most of her research experiences have also significantly contributed to several EU-funded research projects and have had a significant influence on media and policymaking.\\nTalk 2:\\nSpeaker: Mohammad Alhussan, PhD candidate, University College London (UCL)\\nTitle: From Eavesdropping to Exploitation: Exposing Vulnerabilities in BLE-Enabled Wearable Medical Devices\"}, {\"title\": \"Physical assurance for advanced packaging\", \"by\": \"Dr. Navid Asadi\", \"affil\": \"University of Florida\", \"date\": \"18 Dec\", \"abstract\": \"Advanced packaging and heterogeneous integration have made the semiconductor industry more complicated and susceptible to trust and security issues. Hardware Trojans, i.e., malicious modification to electronic systems, can violate the root of trust when the device or systems are fabricated\/assembled in untrusted facilities. As the imaging and failure analysis tools excel in resolution and capability, physical inspection-based methods become more attractive in verifying such trust issues. On the contrary, such physical inspection methods are opening new capabilities for an adversary to extract sensitive information like secret keys, memory content or intellectual property (IP) compromising confidentiality and integrity. Different countermeasures have been proposed, however, there are still many unanswered questions. This talk will focus on the state-of-the-art physical inspection\/assurance methods, the existing countermeasures, related challenges to develop new countermeasures and a research roadmap for this emerging field.\", \"bio\": \"Dr. Navid Asadi holds the position of Associate Professor within the Electrical and Computer Engineering Department and is affiliated with the Materials Science and Engineering department at the University of Florida. His research delves into innovative methods for advanced inspection of integrated circuits (ICs), detecting and preventing counterfeits, system and chip-level decomposition, security assessment, anti-reverse engineering techniques, 3D imaging, invasive and semi-invasive physical assurance, and supply chain security. Dr. Asadi has garnered recognition, including the NSF CAREER award and multiple best paper awards from prestigious conferences such as the IEEE International Symposium on Hardware Oriented Security and Trust (HOST) and the ASME International Symposium on Flexible Automation (ISFA). He was honored with the D.E. Crow Innovation award from the University of Connecticut. Additionally, he founded and currently serves as the general chair of the IEEE Physical Assurance and Inspection of Electronics (PAINE) Conference. Heading the security and assurance (SCAN) lab, Dr. Asadi oversees facilities valued at over $10 million, specializing in advanced imaging, characterization, and reliability. He has authored over 100 peer-reviewed journal and conference papers and holds 18 patents in the field of advanced inspection and assurance.\"}, {\"title\": \"AI and Digitalization in Energy Management\", \"by\": \"Dr. Antonio Sanfilippo\", \"affil\": \"QEERI\", \"date\": \"24 Jan\", \"abstract\": \"As energy systems grow in complexity due to the increasing integration of renewable energy and the electrification of transportation, AI and digitalization have arisen as the prime technologies to address emerging challenges. Machine learning, multi-agent simulations, optimization and game theory methods are being successfully applied to several energy management tasks, with the support of robotics, IoT and cloud\/edge computing technologies. The goal of this talk is to provide a deep dive into the AI and digitalization ecosystem for energy management through a review of the state-of-the-art and the identification of future directions.\", \"bio\": \"Dr. Antonio Sanfilippo is Chief Scientist at Qatar Environment & Energy Research Institute\\n(QEERI). Under his leadership, the QEERI Energy Management Program team has established\\nrenewable energy and smart grid capabilities that have become national points of reference for\\nlocal and international stakeholders, including a large network of solar monitoring stations, a\\n100 kWp microgrid testbed and a network of Phasor Measurement Units in Education City.\\nPrior to QEERI, Dr. Sanfilippo was Chief Scientist at the Pacific Northwest National Laboratory in the US, where he was awarded the Laboratory Director\u2019s Award for Exceptional Scientific\\nAchievement. Dr. Sanfilippo has also held positions as Research Director in the private sector,\\nSenior Consultant at the European Commission, Research Supervisor and Group Manager at\\nSHARP Laboratories of Europe, and Research Associate at the Universities of Edinburgh and\\nCambridge in the UK. Dr. Sanfilippo holds MA and MPhil degrees from Columbia University in\\nthe US, and a PhD from the School of Informatics at the University of Edinburgh in the UK.\"}, {\"title\": \"Securing Biochips Against IP Attacks with Advanced Authentication\", \"by\": \"Dr. Navajit Singh Baban\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"30 Jan\", \"abstract\": \"Microfluidic biochips (MBs), a pivotal class of lab-on-a-chip devices, are extensively utilized in clinical diagnostics, point-of-care testing, and biomedical research. However, the rapid commercialization and complex supply chain of MBs have made them increasingly vulnerable to intellectual property (IP) theft-based attacks, including reverse engineering, counterfeiting, overbuilding, and piracy, posing significant threats to patient healthcare. To address these challenges, we focus on identifying potential attack vectors and developing advanced authentication strategies to secure MBs. Specifically, we have introduced device-level watermarking, fingerprinting, and physically unclonable functions (PUFs) that enable robust image-based and spectral-based authentication. These proactive measures are designed to safeguard MBs against IP theft attacks while ensuring their reliability and integrity in the context of personalized medicine and global biomedical advancements. In this talk, I will present our recent advancements in protecting MBs from IP theft through innovative authentication techniques.\", \"bio\": \"Dr. Navajit Singh Baban is a postdoctoral associate at NYU's Center for Cyber Security, where he specializes in the cyber-physical security of biochips. Dr. Baban earned a B.Tech. in Mechanical Engineering from VIT University, an M.Tech. in Materials Science from IIT Kanpur, and a Ph.D. in Mechanical and Aerospace Engineering from NYU, where he was a Global Ph.D. Fellow, graduating in 2021. His research is interdisciplinary, situated at the crossroads of cybersecurity, mechanical engineering, and materials science. In biochip security, his work focuses on safeguarding critical biochips against malicious attacks by developing testing countermeasures for quality control. To combat intellectual property theft on biochips, including counterfeiting and overproduction, Dr. Baban develops robust authentication solutions such as watermarking, fingerprinting, and physically unclonable functions (PUFs).\"}, {\"title\": \"AI Ethics\", \"by\": \"Dr. Chlo\u00e9 Bakalar\", \"affil\": \"Meta\", \"date\": \"6 Feb\", \"abstract\": \"Draft summary: This talk introduces applied AI ethics in product and engineering contexts, including how organizations identify ethical considerations in AI and GenAI systems and operationalize ethics tooling, policies, and responsible development practices.\", \"bio\": \"Dr. Chlo\u00e9 Bakalar is Chief Ethicist at Meta, where she has developed and leads an engineering- and product-focused approach to applied AI and GenAI Ethics across the company. This work focuses both on (1) identifying and fostering understanding of the ethical considerations around Meta\u2019s family of AI-powered platforms, products and systems, and also (2) designing and operationalizing ethics tooling and policies to enable ethics-forward product work. Bakalar joined Meta in May 2019, and until recently, was also an Assistant Professor of moral \/ political philosophy and public law (esp. civil rights and civil liberties). Her academic research focuses on the intersection of information technology, ethics and democratic citizenship. Previously, she held a Values and Public Policy Postdoctoral Associate position with appointments at Princeton\u2019s University Center for Human Values (UCHV), Center for Information Technology Policy (CITP) and the Center for the Study of Democratic Politics (CSDP). During this fellowship, she co-founded the Princeton Dialogues on AI and Ethics, an interdisciplinary academic program aimed at empowering AI design and deployment to produce greater positive impacts on people and society while reducing potential risks. She now serves on the Advisory Board for CITP. Bakalar received her PhD in 2014 and BA in 2007.\"}, {\"title\": \"CODE: Circuit Obfuscation using Data Encryption\", \"by\": \"Dr. Akashdeep Saha\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"13 Feb\", \"abstract\": \"Indistinguishability Obfuscation (iO) renders indistinguishable any pair of same-sized and functionally identical circuits. Since its introduction by Barak et al. (Crypto \u201901), iO has become the holy grail of modern cryptography due to the myriad of applications it enables. Despite several theoretical constructions (including recent breakthrough results from well-studied assumptions), practically efficient frameworks for iO have remained out of reach. In this paper, we present a novel framework called Circuit Obfuscation from Data Encryption (CODE) for realizing highly efficient iO schemes in hardware. Given a simple tamper-proof hardware to store a fixed size secret key, our proposed CODE framework yields a provably secure hardware module that achieves iO for all poly-sized circuits, while additionally relying on any one-way function and certain (heuristic but widely studied) assumptions on substitution-permutation networks (used extensively in the design of secure block ciphers). We practically instantiate CODE from widely deployed realizations of a simple HSM (Hardware Security Module), and the substitution-permutation network underlying the PRESENT block cipher (an ISO standard for lightweight cryptography). We then use this instance of CODE to obfuscate, without loss of generality, the C-17 circuit of the ISCAS-85 benchmark suite while incurring very small practical overheads. To the best of our knowledge, this constitutes the first practical demonstration of iO.\", \"bio\": \"Dr. Akashdeep Saha is a postdoctoral associate at NYUAD\u2019s Center for Cyber Security, where he specializes in security analysis of logic locking techniques and cryptography. He received his PhD from the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, India.\"}, {\"title\": \"NiLoPher: Breaking a Modern SAT-Hardened Logic-Locking Scheme via Power Analysis Attack\", \"by\": \"Prithwish Basu Roy\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"20 Feb\", \"abstract\": \"In a bid to break the game of cat-and-mouse seen in logic locking, LoPher [19] brings, for the first time, cryptographic security promises to the field. Toward this end, LoPher embeds the circuitry to lock within multiple block cipher rounds by carefully configuring all the S-Boxes. To realize general Boolean functionalities and support varying interconnect topologies, LoPher introduces additional layers of MUXes between S-Boxes and the permutation operations. The authors of LoPher claim resilience against SAT-based attacks in particular. Here, we show the first successful attack on LoPher. First, we uncover a significant limitation for LoPher\u2019s key-space configuration, resulting in many equivalent keys and, thus, a largely simplified search space for attackers in practice. Second, motivated by their well-proven working against ciphers, we employ a power side-channel attack against LoPher to recover the remaining full key. We find that ISCAS-85 benchmarks locked with LoPher can all be broken in a few thousand traces. Finally, we outline a simple and low-cost countermeasure to render LoPher more secure.\", \"bio\": \"Prithwish Basu Roy is a third-year PhD candidate at NYU Tandon and a research assistant at NYU Abu Dhabi. Before joining here, Prithwish did his masters from IIT Madras, Chennai, India. Prithwish also works on protecting logic-locking implementations against threats like side-channel and fault attacks. His research interest also lies in defenses against threats to cyber-physical systems like 3D printers and Digital Microfluidic Biochips(DMFBs). He also analyzes the utility of using Large Language Models(LLMs) to address hardware security-related problems like side-channel analysis and logic locking.\"}, {\"title\": \"Expanding Microarchitectural Battlefield: The Invisible Threats (Side-Channel Attacks) Inside Our Processors\", \"by\": \"Prof. Maria Mushtaq\", \"affil\": \"Telecom Paris\", \"date\": \"10 Apr\", \"abstract\": \"Modern computing systems are built on layers of abstraction, each designed for improving efficiency and performance. However, beneath this structure lies an unsettling truth: Our hardware is leaking secrets! Microarchitectural Side-Channel vulnerabilities continue to expand, challenging the very foundations of Trusted Computing Base (TCB). In this talk, we will discuss the attack surface of the modern processors, including x86, ARM, and RISC-V processors. Afterwards, we will analyze high-profile attacks and uncover why existing defenses remain inadequate. We will discuss automated vulnerability assessment through simulated attack behaviors across different architectures.\\nTowards the end of talk, we will discuss that security measures are evolving and so do the attack techniques\u2014raising the question: Can we build a secure-by-design processor for today\u2019s computing or for unconventional paradigms of tomorrow? Or are we destined to play an endless game of cat and mouse? Let\u2019s uncover the past, present, and future of microarchitectural security.\", \"bio\": \"Maria Mushtaq is an Associate Professor at Telecom Paris in Safe and Secure Hardware group (SSH) of COMELEC Department. She received her PhD in Information Security from the University of South Brittany (UBS), France, in 2019. She has worked as a CNRS Postdoctoral Researcher at LIRMM, University of Montpellier (UM), France. She possesses expertise in microarchitectural vulnerability assessment and design & development of runtime mitigation solutions against side- and covert-channel information leakage in modern computing systems. Her research interests mainly focus on cryptanalysis, constructing and validating software security components, and constructing OS-based security primitives against various hardware vulnerabilities.\"}, {\"title\": \"Computer Security and Machine Learning: Miss or Match?\", \"by\": \"Prof. Debdeep Mukhopadhyay\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"16 Apr\", \"abstract\": \"Draft summary: This talk explores where computer security and machine learning reinforce or challenge each other, including the use of machine learning for security, the security of machine learning systems, and research questions at their intersection.\", \"bio\": \"\"}, {\"title\": \"Rethinking Memory: Harnessing PiM to Eliminate the Data Wall in Modern Computing\", \"by\": \"Prof. Gabriel Falcao\", \"affil\": \"University of Coimbra\", \"date\": \"24 Apr\", \"abstract\": \"The data movement bottleneck imposes severe limitations on the performance and energy consumption of modern computing systems, including those at the extremes: in datacenters and at the edge. Recent studies have shown that more than 60% of the energy used in common workloads is spent moving data. Processing-in-Memory (PiM) has emerged as a way to mitigate the data movement bottleneck while meeting the stringent performance, energy efficiency, and accuracy requirements of many applications.\\nThis talk explores a range of cutting-edge PiM technologies, with a special focus on pLUTo, a novel approach that introduces minimal modifications to DRAM substrates to achieve substantial gains in performance and energy efficiency. Experimental results demonstrate the effectiveness of pLUTo and other PiM technologies across diverse workloads, including AI algorithms running in the cloud or at the edge.\", \"bio\": \"GABRIEL FALCAO (S\u201907\u2013M\u201910\u2013SM\u201914) received the Ph.D. degree from the University of Coimbra, in 2010. In 2011\/2012 and again in 2017, he was a Visiting Professor with EPFL, in Switzerland. He spent the Summer of 2018 as a Visiting Academic with ETHZ, also in Switzerland. He is currently an Associate Professor with the Department of Electrical and Computer Engineering (ECE), University of Coimbra, and a Senior Researcher with the Instituto de Telecomunica\u00e7\u00f5es. From 2021 until 2024 Gabriel was the coordinator of the Ph.D. program in ECE, which he renewed to help create the new Ph.D. in Electrical Engineering and Intelligent Systems at the University of Coimbra. Under this role, he also coordinated the update of the dual Ph.D. degree protocol between the University of Coimbra and Carnegie Mellon University. His research interests include parallel computer architectures, GPU- and FPGA-based accelerators, processing-in-memory systems, quantum computing, energy-efficient processing, and compute-intensive signal processing applications related with communications and medical imaging problems. He published more than 50 journals, 80 international conference papers, and holds an international patent licensed to the medical industry. Gabriel was the PI and co-PI of several projects including two from the Portuguese funding agency FCT and one from a Google Faculty Research Award (together with J. Barreto), funded by Google Inc. In 2015 he became the PI of a CUDA Research Center sponsored by NVIDIA to the University of Coimbra and Instituto de Telecomunica\u00e7\u00f5es. He is a member of the IEEE Signal Processing Society, IEEE Computer Society Technical Community on Microprogramming and Microarchitecture, a Senior member of IEEE, and a Full member of the HiPEAC Network of Excellence. Gabriel was the General Co-Chair of IEEE SiPS in 2020, and Local Chair of Euro-Par 2021. He serves as an Associate Editor for IEEE Micro magazine and IEEE Transactions on Signal Processing. He also served as Guest Editor of three special issues at IEEE and Springer journals, including the most recent one at IEEE Micro on \u201cThe Past, Present, and Future of Warehouse-scale Computing\\\".\"}, {\"title\": \"Application Security Testing at Black Duck\", \"by\": \"Daniil Tiganov\", \"affil\": \"Black Duck\", \"date\": \"1 May\", \"abstract\": \"In this presentation, we will explore various products offered by Black Duck, with a particular focus on Coverity\u2019s Rapid Scan Static (Sigma) engine. We will delve into how Sigma aligns with the \\\"shift left\\\" paradigm and the considerations involved in developing an industrial-scale static analysis engine that meets enterprise-level requirements.\", \"bio\": \"Daniil Tiganov is a Senior Staff Software Engineer at Black Duck. He holds both a bachelor's degree and a master's degree in Computing Science from the University of Alberta, Edmonton, Canada. His master's research focused on developing SWAN, a static analysis framework for Swift, a project that continues to evolve at the SANAD Lab at NYUAD. Currently, Daniil tech leads a language team for the Rapid Scan Static (Sigma) engine, driving efforts to enhance software security through static analysis.\"}, {\"title\": \"A bit of both worlds: a career shaped by research and policy making\", \"by\": \"Dr. Heba Ahmad\", \"affil\": \"Dubai Government\", \"date\": \"8 May\", \"abstract\": \"Draft summary: This talk reflects on a career that bridges cybersecurity research and policy making, including how technical research can inform government cybersecurity standards, public-sector initiatives, and practical policy decisions.\", \"bio\": \"Dr. Heba Ahmad is a future studies specialist at Dubai electronic security center. She's been a leading member of several cyber security research and development initiatives including the organization of government-sponsored calls for research and research collaborations with universities. Dr. Heba also led the development of a number of Dubai cyber security standards such as the IoT security standard, the biomedical devices security standard, and the connected vehicles security standard. She holds a PhD in Hardware security and trust from the University of Edinburgh and has published her research in conferences such as DATE (design and test in Europe) and ETS (IEEE European test symposium). In today\u2019s seminar, she will share insights from her research on achieving trustworthy computing on untrustworthy hardware, in addition to the lessons learnt from her work on developing city-level cyber security standards, touching on the importance of involving researchers, scientists, and engineers in the governance of emerging technologies.\"}, {\"title\": \"Proactive Defense: Real-Time Detection of Malicious Ethereum Transactions\", \"by\": \"Dr. Tamer Abdelaziz\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"15 May\", \"abstract\": \"As blockchain technology continues to evolve, the sophistication and frequency of attacks have escalated, leading to significant financial losses\u2014over $2.2 billion was stolen across 303 crypto hacks in 2024 alone. In response to this pressing issue, we introduce XaD, an advanced, real-time defense system designed to detect and mitigate malicious Ethereum transactions. XaD monitors blockchain transactions, detects vulnerabilities\/attacks with 98.8% accuracy and an ultra-fast 0.0014-second response time, identifying threats, providing transparent, actionable insights, and triggering emergency pauses to prevent fund theft. Requiring no installation and outperforming 14 leading tools, this web-based solution is built for seamless integration into existing developer and enterprise workflows. This talk delves into the architecture, capabilities, and real-world implications of XaD, offering a glimpse into the future of secure decentralized finance.\", \"bio\": \"Tamer Abdelaziz is a postdoctoral associate at the SANAD Lab, specializing in blockchain security and smart contract analysis. He earned his doctoral degree from the National University of Singapore, where he focused on employing deep learning techniques to identify and mitigate security threats within smart contract source code, bytecode, and transactions. Currently, Tamer is exploring innovative approaches to bolster the security of blockchain systems, including the integration of blockchain verification techniques with the analysis of blockchain attacks. His latest project, XaD, exemplifies his commitment to developing practical solutions that enhance the resilience of decentralized systems.\"}, {\"title\": \"Human-centric cyber hygiene for raising cybersecurity and data privacy awareness: lessons\", \"by\": \"Dr. Christos Laoudias\", \"affil\": \"KIOS\", \"date\": \"22 May\", \"abstract\": \"This talk covers human-related aspects in cybersecurity and data privacy in the healthcare sector. These aspects are relevant to other business verticals, where the human factor is at the forefront and often considered the weakest link of the cyber defense chain. The first part introduces the background and outlines the main cyber threats in healthcare, different definitions of Cyber Hygiene, the state-of-the-art on Cyber Hygiene, existing commercial solutions for cybersecurity training and awareness, as well as some recommendations by cybersecurity organizations. The second part presents the proposed Cyber Hygiene methodology that is a risk assessment tool aiming to transform personnel to \u201chuman sensors\u201d acting as the first line of defense against imminent cyber-attacks. This methodology relies on a structured survey questionnaire to identify human-related cybersecurity and data privacy risks in the organization and recommends optimal human- centric controls according to predefined risk management strategies for reducing these risks. Results and findings from the application of the Cyber Hygiene methodology to healthcare organizations across Europe are discussed in the last part.\", \"bio\": \"Christos Laoudias is a Research Lecturer at the KIOS Center of Excellence, University of Cyprus, working on monitoring, management, and security of Critical Infrastructures Systems (CIS) and Cyber-Physical Systems (CPS). Before that, he was leading the geolocation technology research in Huawei Technologies Ireland Research Centre working on the design of data-driven positioning solutions for cellular network planning and optimization. He holds a Diploma in Computer Engineering and Informatics (2003) and a M.Sc. in Integrated Hardware and Software Systems (2005) from the University of Patras, Greece, and a Ph.D. in Computer Engineering from the University of Cyprus (2014). Christos contributes to several past and ongoing EU and nationally funded projects related to cybersecurity across different sectors including Healthcare (CUREX), Automotive (CARAMEL, AutoTRUST), Power (ELECTRON), and Defence (ACTING, CITADEL Range), where he brings his technical expertise and is leading the UCY-KIOS R&D teams. He is the Project Coordinator of the 2024-2027 Horizon Europe project SPARROW (Solid Preparedness And Resilience for Robust Operations during disaster Wilderness). He has published more than 80 peer-\\nreviewed papers in scientific journals and conference proceedings. His research interests include mobile systems and pervasive computing, localization and tracking technologies, resilience and cybersecurity of CIS and CPS.\"}, {\"title\": \"Graph Neural Networks for Hardware Vulnerability Analysis-- Can you Trust your GNN?\", \"by\": \"Dr. Lilas Alrahis\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"7 Sep\", \"abstract\": \"The participation of third-party entities in the globalized semiconductor supply chain introduces potential security vulnerabilities such as the insertion of hardware Trojans and intellectual property piracy. Graph neural networks and (GNNs) have been successfully employed to address various hardware security threats, owing to their superior performance on graph- structured data, such as circuits. In this presentation, I will discuss how GNNs can detect hardware vulnerabilities, such as Trojans. Additionally, I will present a previously unexamined angle: the exploration of GNNs' own vulnerabilities in the context of hardware design. This highlights the need to thoroughly assess the security of GNNs before deploying them in security-critical applications.\", \"bio\": \"Lilas Alrahis received the M.Sc. degree and the Ph.D. degree in Electrical and Computer\\nEngineering from Khalifa University, UAE, in 2016 and 2021, respectively. She is currently a\\nPostdoctoral Associate with the Design for Excellence Lab, headed by Prof. Ozgur Sinanoglu, in the Division of Engineering, at the New York University Abu Dhabi (NYUAD), UAE. Her current research interests include Hardware Security, Design-for-Trust, Logic Locking, Applied Machine Learning, and Digital Logic Design.\"}, {\"title\": \"Discrete Gaussian Transformation in application to modular polynomial multiplication\", \"by\": \"Oleg Mazonka\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"14 Sep\", \"abstract\": \"Discrete Galois Transform (DGT) is a generalization of the classic DFT to finite fields in Gaussian numbers. Similar to NTT (Number Theoretic Transformation), it basically lets one perform fast convolutions on integer sequences without any round-off errors. Convolutions are useful for multiplying large numbers or long polynomials, and the DGT and NTT are asymptotically faster than other methods like Karatsuba multiplication.\", \"bio\": \"Oleg Mazonka is currently a Research Associate working in the Modern Microprocessors Architecture Lab, with Prof. Michail Maniatakos. Oleg holds a Ph.D. in theoretical physics.\"}, {\"title\": \"VIGILANT: Vulnerability Detection Tool against Fault-Injection Attacks for Locking Techniques\", \"by\": \"Likhitha Mankali\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"21 Sep\", \"abstract\": \"Logic locking is a well-known solution that thwarts design intellectual property (IP) piracy and prevents illegal overproduction of integrated circuits (ICs) against adversaries in the globalized supply chain. The widespread prevalence of reverse-engineering tools, probing, and fault-injection equipment has given rise to physical attacks that can undermine the security of a locked design. Fault-injection attacks, in particular, can extract the secret key from an oracle, circumventing the defense offered by logic locking. When design IP is compromised through physical attacks, fixing corresponding vulnerabilities generally requires a silicon re-spin, which is impractical under constrained time and resources. Thus, there is a requirement for a detection tool that can perform a pre-silicon evaluation of locked designs to notify the designer of any vulnerabilities that can be exploited using faults. In this work, we propose VIGILANT, a first-of-its-kind vulnerability detection tool against fault-injection attacks targeting the hardware implementation of locking techniques. More specifically, VIGILANT aids designers in identifying critical nets susceptible to fault-injection attacks. VIGILANT analyzes the underlying locked design and computes a list of candidate nets along with their fault values required for key leakage and consequently validates each candidate net as vulnerable or not, using a functional simulation model of the design (acting as an oracle). We showcase the efficacy of VIGILANT on different locked designs for four different locking techniques under various parameters such as technology nodes, layout-generation commands, and key-sizes.\", \"bio\": \"Likhitha Mankali is a Ph.D. candidate at the Department of Electrical and Computer Engineering at Tandon School of Engineering, New York University, NY, USA. She is a Global Ph.D. fellow and is with the Design for Excellence Lab, headed by Prof. Ozgur Sinanoglu, in the Division of Engineering, at the New York University Abu Dhabi (NYUAD), UAE. She received her Dual degree in B.tech Electronics and Communication Engineering and M.tech Electrical Engineering in 2019 from Indian Institute of Information Technology (IIIT) Allahabad. Her research interests include Hardware Security and using Machine learning and fault injection techniques to enhance and quantify the security of IP protection techniques.\"}, {\"title\": \"Seminar on Public Presentation Skills\", \"by\": \"Karl Kalinkewicz\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"28 Sep\", \"abstract\": \"Do you dread having to give presentations? 85% of people report that they feel some form of anxiety before having to give public presentations, so you are not alone! This session will provide attendees with some basic tips to reduce speech anxiety and how to organize your presentation to effectively communicate about your research.\", \"bio\": \"Karl Kalinkewicz is the current Head of Graduate Recruitment at NYU Abu Dhabi. In addition to student recruitment, Karl has served previously as an Adjunct Professor of Communications, specializing in Public Speaking and Rhetoric, providing students with the skills necessary to overcome speech anxiety and develop engaging presentations. Karl has worked both in classroom settings as well as with local professional groups such as DCT, Cheesecake Factory, and NYUAD's Office of Executive Education.\"}, {\"title\": \"GNN4Circuits: A Unified Platform for Circuit Analysis and Prediction\", \"by\": \"Hana Selmani\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"5 Oct\", \"abstract\": \"Graph Neural Networks (GNNs) have proven to be very useful in their application to circuits with classification and regression tasks. In recent years, several open-source GNN platforms tailored to specific circuit-related tasks have emerged. However, these platforms are often designed for singular purposes, leaving researchers with a need for more versatile tools. Since there are so many different formats of circuit representation, e.g., register transfer level (RTL), gate-level, transistor-level, etc., types of graphs, and types of GNN models, it can be hard to find an already existing platform that tailors perfectly to the needs of the researcher at each step. This leads researchers to have to implement their own platform which will parse and transform a circuit into a graph, then apply the appropriate GNN to it. This will be time-consuming and requires someone on the team who has programming skills and machine learning experience.\\nIn response to this challenge, we introduce GNN4Circuits, a versatile platform designed to accommodate various circuit representation formats, graph types, and GNN applications. Our platform offers a customizable and broadly applicable solution, eliminating the need for researchers to create new implementations for each study or develop datasets from scratch.\\nTalk 2:\\nTitle : GNN4IC: The Application of Graph Neural Networks in Advancing Integrated Circuit Design, Reliability, and Security\", \"bio\": \"\"}, {\"title\": \"From Bag of Words to Large Language Models: Unveiling the power of generative AI for Natural Language Processing\", \"by\": \"Dr. Ruchit Agrawal\", \"affil\": \"University of Birmingham Dubai\", \"date\": \"12 Oct\", \"abstract\": \"Natural Language Processing (NLP) has witnessed a paradigm shift in recent years, driven by the advent of Generative AI models. This seminar offers a comprehensive exploration of the evolutionary trajectory of language technologies, spanning from the rudimentary Bag-of-Words model to the sophisticated Long Short-Term Memory (LSTM) networks and culminating in the transformative power of Transformers and Generative Pre-trained Transformers (GPT) based Large Language Models (LLMs).\\nThe seminar will provide a rigorous overview of these state-of-the-art models, encompassing their underlying architectural innovations, training methodologies, and their profound implications for NLP tasks. The focal point of the seminar centers on the Transformer model - the model that has reshaped the entire NLP landscape, rendering remarkable achievements in machine translation, sentiment analysis, and text summarization among other tasks. The speaker will delve deeply into the architecture of the Transformer model and dissect what makes them so powerful and adaptable to a wide array of NLP tasks. Furthermore, the seminar will conclude with a discussion of Large Language Models based on the Generate Pre-Trained Transformer (GPT) models, elucidating their remarkable capacity to understand language and generate human-like text, thereby enabling transformative applications across diverse domains, from conversational AI and content creation to information retrieval, healthcare, and beyond.\", \"bio\": \"Dr Ruchit Agrawal is an Assistant Professor and Head of Computer Science Outreach at the University of Birmingham Dubai. Prior to this, he was a postdoctoral research scientist at the University of Oxford at the Computational Health Informatics group. He received his PhD in Computer Science with the prestigious Marie-Curie scholarship from the Queen Mary University of London. Dr Agrawal is an expert in AI and Machine Learning, and has published several research papers in leading journals and reputed international conferences of his domain. His broad research interests include Multimodal Deep Learning, Adaptive and Contextual AI, Natural Language Processing and Clinical Machine Learning.\"}, {\"title\": \"The New frontier of Science Discovery : Machine Learning for Science\", \"by\": \"Prof. Simon See\", \"affil\": \"NVIDIA AI Technology Center\", \"date\": \"19 Oct\", \"abstract\": \"Draft summary: This talk discusses how machine learning is reshaping scientific discovery, including the use of AI methods to accelerate simulation, modeling, data analysis, and experimentation across scientific domains.\", \"bio\": \"\"}, {\"title\": \"Double-Edged Sword of Backdoor Attacks in Federated Learning: Persistent Injection and Stealthy Removal\", \"by\": \"Dr. Manaar Alam\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"26 Oct\", \"abstract\": \"Federated Learning (FL) enables multiple participants to train deep learning models collaboratively without exposing sensitive personal data. However, its distributed nature and unvetted data expose it to the potential threat of backdoor attacks. Adversaries exploit this vulnerability to inject malicious functionality into the centralized model during training, causing intentional misclassifications for specific adversary-chosen inputs. In this talk, we delve into the dual aspects of a backdoor attack: its creation and subsequent removal when deemed necessary by the adversary. The first facet pertains to a method of persistent-by-construction backdoor injection developed for FL. It leverages adversarial perturbation and selectively targets specific parameters of the centralized model. However, the persistent nature of these backdoors can be double-edged, prompting prevention measures. Hence, it is critical for adversaries to remove these backdoors either after the successful achievement of their intended objectives or in response to suspected detection attempts. In view of this, the second facet of our discussion extends the concept of machine unlearning to effectively remove these persistent backdoors from the centralized model. It outlines strategies to maintain the performance of the centralized model and prevent over-unlearning of information unrelated to backdoor patterns, enhancing the stealth of adversaries during backdoor removal. Collectively, these two strategies create a dynamic and flexible adversarial approach to backdoor attacks and removal in the context of FL.\", \"bio\": \"Manaar Alam achieved his Bachelor of Technology in Computer Science and Engineering in 2013 from the Institute of Engineering and Management (IEM) in Kolkata, India. He achieved his Master of Technology in the same field in 2016 from the Indian Institute of Technology (IIT) Dhanbad, India. He completed his Ph.D. in Computer Science and Engineering in 2022 from the Indian Institute of Technology (IIT) Kharagpur, India. During his doctoral studies, he was honored with the prestigious IBM PhD Fellowship Award. Manaar is working as a Post-Doctoral Associate at the Center for Cyber Security at New York University Abu Dhabi, UAE, under Prof. Mihalis Maniatakos. His research centers around exploring the synergy between Deep Learning and Security, with a current interest in understanding the vulnerability of collaborative Federated Learning environments. Manaar is also interested in the side-channel security aspects of Deep Learning implementations through various factors like micro-architectures, power consumption, etc.\"}, {\"title\": \"Microfluidic Lab-on-a-Chip: Design Automation of Sample Preparation\", \"by\": \"Dr. Sukanta Bhattacharjee\", \"affil\": \"IIT Guwahati\", \"date\": \"2 Nov\", \"abstract\": \"Microfluidic biochip or lab-on-a-chip (LoC) is a miniaturized biochemical laboratory that can manipulate the nano\/pico-liter volume of fluids in an automated fashion. These LoC microsystems offer several advantages over conventional biochemical analyzers, such as faster biochemical reaction, ultra-sensitive detection, and lower cost per assay.\\nSample preparation is essential in a biochemical protocol where two or more input reagents are mixed into a desired ratio. LoC-based sample preparation methods deploy a sequence of mixing operations (represented as a mixing tree) to prepare a target ratio of input reagents. This process requires mixing of fluids in different volumetric proportions, storage of intermediate fluids, and transportation of fluids between storage and mixer.\\nFully programmable valve arrays (FPVAs) have emerged as a general-purpose flow-based microfluidic platform. An FPVA is a two-dimensional array of fluid chambers surrounded by four microvalves. Although FPVA can store fluids in a chamber and perform active mixing operations in a reconfigurable manner (by grouping cells in a closed loop), transporting fluids between chambers is cumbersome, which poses a significant challenge in sample preparation. Existing sample preparation algorithms for digital and flow-based microfluidic biochips can't be used as they require the transportation of fluids between storage and mixer.\\nIn the talk, we will discuss design automation algorithms of sample preparation with FPVAs that do not require the transportation of fluids between storage and mixer. We will also look into the combinatorial properties of mixing trees that can be leveraged for designing efficient design automation solutions of sample preparation with FPVAs.\", \"bio\": \"Sukanta Bhattacharjee received the B.Sc. (with Hons.) degree in computer science and the B.Tech. degree in computer science and engineering from the University of Calcutta, Kolkata, India, in 2006 and 2009, respectively, and the M.Tech. and Ph.D. degrees in computer science from the Indian Statistical Institute, Kolkata, India, in 2012 and 2017, respectively. He is currently an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati, India. He was a Postdoctoral Fellow with the Center for Cyber Security, New York University Abu Dhabi, Abu Dhabi, UAE. His research interests include design automation algorithms, microfluidics, and security.\"}, {\"title\": \"Crash-consistent Secure NVM in Energy Harvesting Systems\", \"by\": \"Dr. Youngkwang Han\", \"affil\": \"KAIST\", \"date\": \"9 Nov\", \"abstract\": \"Energy harvesting systems have emerged as the next-generation systems of IoT devices. Since they are frequently power-interrupted due to the absence of a battery, the majority of prior works have focused on power failure recovery, which is realized by storing necessary data in non-volatile memories (NVMs). Meanwhile, from the perspective of security, since energy harvesting devices are often used and deployed in remote and open environments where physical access attacks to NVMs are plausible, securing the NVM-resident data in the energy harvesting systems consistently is indeed a critical requirement.\\nHowever, prior works of crash-consistent secure NVM were designed only for conventional power-rich systems based on roll-forward recovery. Moreover, the prior works, designed with assumptions that power failure rarely occurs, cause a significant performance overhead in low-power energy harvesting systems. In this talk, I will present the first rollback-based crash consistency solution that utilizes a hybrid logging scheme for secure NVM operating on low-power energy harvesting systems.\", \"bio\": \"Youngkwang Han is a postdoctoral researcher at KAIST. He received his M.S. and Ph.D. from the KAIST at the Cyber Security Systems Research Lab. His research interests include designing efficient hardware-anchored security systems and designing accelerators for practical security services.\"}, {\"title\": \"Evolutionary game model of unintentional malicious insider attacks\", \"by\": \"Dr. KC Lalropuia\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"16 Nov\", \"abstract\": \"Insider threats are one of the most significant challenges faced by organizations and a very high cost is incurred due to these threats. Insider threats are difficult to deal with as insiders have privilege that can be misused to perform malicious acts. Moreover, insiders\u2019 behavior is not known completely as they can be motivated by various factors such as financial gain, espionage, disgruntlement, etc. Although a number of research work have been carried out on detection and mitigation of the threats, the existing literature have not studied properly important problems such as how various types of people (i.e., honest\\nand trained, honest but untrained in cybersecurity, malicious insiders) evolve in organizations and who will survive in the long run. Therefore, in this work we develop a novel evolutionary game model addressing these problems. The results obtained give insights into how malicious insiders and honest people interact and coexist in the organization. In addition, we present numerical illustrations that determine the stable proportions of the mixed population in the organization.\", \"bio\": \"KC Lalropuia is a CITIES Postdoctoral associate at New York University Abu Dhabi. He obtained Master of Science from Indian Institute of Technology Bombay and Ph.D. from University of Delhi, India. His main research interests include game theory in network security and stochastic modeling of communication networks.\"}, {\"title\": \"Human Centered Computer Vision\", \"by\": \"Dr. Haz\u0131m Kemal Ekenel\", \"affil\": \"Istanbul Technical University\", \"date\": \"23 Nov\", \"abstract\": \"Facial image processing and analysis is the task of automatically analyzing face images in order to\\nacquire information about the depicted persons. This includes a person\u2019s identity, emotional state, facial gestures, age, and gender. The large number of European projects that involves facial image processing as a part shows its crucial role in a wide range of application domains, such as security, smart environments, human-computer interfaces, and content-based image and video analysis. Considering the advanced security needs of the society and the shift to the paradigm of human-centered computing for natural interfaces, the interest in face processing is expected to continue with increasing pace. In this talk Dr. Ekenel is going to present an overview of computer vision research activities @ Smart Interaction and Machine Intelligence (SiMiT) Lab. The topics will include but not limited to face detection, face recognition, facial expression analysis, face generation and their applications.\", \"bio\": \"Dr. Ekenel is a full Professor at the Department of Computer Engineering in Istanbul Technical\\nUniversity in Turkey. His research interest covers computer vision and machine learning with a focus\\non face analysis and human perception. He has published more than 100 peer reviewed publications\\nin prestigious international journals, conferences, and workshops in the related fields. He received\\nhis Ph.D. degree in Computer Science from the University of Karlsruhe (TH) in 2009. He has founded\\nthe Facial Image Processing and Analysis group at the Department of Computer Science in Karlsruhe\\nInstitute of Technology. He has received the EBF European Biometric Research Award in 2008 for his\\ncontributions to the field of face recognition. He is also a recipient of the Science Academy Turkey's\\nYoung Scientist Award 2018 and IEEE Turkey Chapter Research Award 2019.\\nAcademic Website: https:\/\/web.itu.edu.tr\/ekenel\/\\nGoogle Scholar: https:\/\/scholar.google.com\/citations?user=LfIDj68AAAAJ&amp;hl=en\"}, {\"title\": \"Securing Seamless Connections: Cybersecurity in Unified Communication and Contact Center Technologies\", \"by\": \"Murad Sanouri\", \"affil\": \"Avaya\", \"date\": \"7 Dec\", \"abstract\": \"In the constantly evolving domain of unified communication and contact centers, addressing cybersecurity concerns is a worldwide necessity. This presentation examines the complexities of establishing secure connections, investigating successful strategies tailored to various geographic regions. Key topics to be explored include:\\n1. Unified Communication Security: Uncover the global cybersecurity challenges posed by unified communication platforms. Explore strategies designed to address region-agnostic threats, ensuring the confidentiality, integrity, and availability of communication channels.\\n2. Contact Center Cyber Resilience: Examine the evolving threat landscape facing contact centers globally and learn about effective strategies to enhance cyber resilience. From safeguarding customer data to ensuring the integrity of service delivery, discover best practices for maintaining a secure contact center environment.\\n3. Policy Frameworks for UC and CC Security: Understand the importance of robust, globally applicable cybersecurity policies. Explore effective strategies for creating policies that follow local rules and consider cultural differences while making sure they balance security needs and efficiency.\\n4. Insider Threat Mitigation: Understand the details of insider threats within the context of global unified communication and contact centers. Discover proactive measures and strategies aimed at mitigating risks associated with privileged access and internal vulnerabilities.\\n5. Best Practices for Secure Collaboration: Explore global best practices for securing collaborative environments within unified communication and contact center platforms. Learn about strategies that empower organizations to foster collaboration without compromising security.\", \"bio\": \"Murad Sanouri is currently the Head of Solutions Architects in the MEA&T region at Avaya, based in Dubai. He leverages over 15 years of expertise in Employee Experience, Customer Experience, and Artificial Intelligence Technologies. In his current role at Avaya, Murad leads technical sales teams, working closely with clients to analyze and address their business needs. His technical expertise extends to network architecture, VoIP technologies, artificial inteligence and security, demonstrating a consistent track record of achieving sales targets and optimizing operational efficiency.\\nMurad's educational background includes an MBA from The British University in Dubai and a\\nB.S. in Electrical Engineering from Birzeit University in Palestine. His professional journey\\nat Avaya, highlights his experience in streamlining processes and aligning sales strategies with dynamic market trends. Beyond corporate roles, Murad has made significant contributions to the telecom and banking sectors, providing tailored solutions and\\nsupport. His commitment to continuous learning is evident through participation in various\\ntraining courses and certifications. Murad's technical and business expertise positions him as a valuable asset in navigating the ever-evolving landscape of technology and customer experience.\"}, {\"title\": \"Shapelet-based Classification for Identifying Hate Speech on Twitter Using Range Queries in Multidimensional Data Structures\", \"by\": \"Dr. Eleanna Kafeza\", \"affil\": \"Zayed University\", \"date\": \"14 Dec\", \"abstract\": \"In recent years, social media platforms, like Twitter, are increasing in popularity but at the same time hate speech instances are rising with several consequences for the rest of the users. In this work, we propose a methodology for classifying Twitter users' time series into hate or non-hate. We take this approach one step further and refine the classification using temporal and semantic information. Users' time series are based on the emotional intensity of their tweets and are constructed using the NRC-EIL lexicon. The proposed methodology utilizes shapelet-based techniques and time series representation. We perform a data transformation to symbolic time series which allows us to use suffix trees for the implementation of the shapelet classification. Furthermore, we introduce multidimensional data structures as a method to further constrain class participation considering additional conditions. In the experimental evaluation, we show that the use of suffix trees and multidimensional data structures outperforms previous related approaches. Finally, our hypothesis that additional constraints related to time and influence will improve the results is confirmed by showing an increase in precision.\", \"bio\": \"Eleanna Kafeza is an Associate Professor at Zayed University, UAE, and holds a Ph.D. from Hong Kong University of Science and Technology in computer science. Dr Kafeza has an international experience, she is currently an adjunct professor at Ontario Tech Canada, has worked as faculty at Athens University of Economic and Business and the Hong Kong University of Science andTechnology, and served on Sabbatical leave at the International Institute of Information Technology Hyderabad India. Dr Kafeza has an extended research experience having published at top ranked journals like IEEE Transactions on Knowledge and data Engineering, IEEE Transactions on Computational SocialSystems, and Information Systems Frontiers. Her research interests are in data science, and data mining with focus on clustering and classification methods for social media data, community detection and information diffusion.\"}, {\"title\": \"Advancing Aviation Security: Developing a Digital Signature-Based Secure ADS-B Communication System\", \"by\": \"Dr. Syed Khandker\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"11 Jan\", \"abstract\": \"Automatic Dependent Surveillance-Broadcast (ADS-B) is a state-of-the-art air traffic surveillance technology currently operational in various parts of the world. ADS-B messages are broadcasted in the air without security measures, making them vulnerable to various cyberattacks. Concerns about the integrity, authenticity, and security of ADS-B have been raised due to demonstrated attacks. To address this issue, experts recommend crypto-based solutions such as encryption, MAC, and digital signatures. Despite some proposed solutions, to the best of our knowledge none have been tested in a real environment. We aim to address the underlying problem and propose a secure and backward-compatible ADS-B messaging system based on digital signatures. We modified the ADS-B signal transmitting and receiving software to expand its capacity for signing and verification. To mitigate errors, we applied Reed-Solomon error-correction code. We tested four variants of the ECDSA and RSA signature algorithms for the proposed method. We explored the security and efficiency tradeoffs among different signature types and error-correction codes. The test results suggest that a ten-byte error correction code could offer optimal performance.\", \"bio\": \"Syed Khandker completed his B.Sc., M.Sc., and PhD from the University of Jyvaskyla, Finland, in software and communication engineering. During his doctoral study, he was involved in various EU-funded projects. His research interest is in wireless communication and security.\"}, {\"title\": \"Moderation by Machine: The Ethics of Censorship by AI\", \"by\": \"Dr. Jeffrey Howard\", \"affil\": \"University College London\", \"date\": \"1 Feb\", \"abstract\": \"Our public discourse now largely takes place on digital platforms, such as Facebook, Instagram, X (formerly Twitter), and TikTok. Those platforms enforce a range of rules against various categories of harmful speech, from hate speech to misinformation. While the rules are made by people working within the companies, they are largely enforced by cutting edge artificial intelligence tools. Should we welcome the fact that our public sphere is now largely policed by machines? On the one hand, using AI for online moderation has lots of benefits: it removes harmful speech faster than humans could, and it spares human moderators from having to look at horrific content. On the other hand, critics have argued that using AI for this purpose remains seriously unethical -- given its biases, and its tendency to make mistakes by both under- and over-removing speech. Who is right? This talk will seek to answer this question.\", \"bio\": \"Jeffrey Howard is Associate Professor of Political Philosophy and Public Policy at University College London, where he directs the Digital Speech Lab. He is also a Senior Research Associate at the Institute for Ethics in AI at Oxford University, and co-editor of the Journal Political Philosophy . He has published widely on freedom of expression, social media, democracy, criminal punishment, and counter-extremism.\"}, {\"title\": \"Developing Machine Learning Models to Assess Cyber Risk in the Construction Industry: Addressing a Critical Gap in Cybersecurity\", \"by\": \"Daniel Yao\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"8 Feb\", \"abstract\": \"This study employs Machine Learning (ML) techniques for assessing the five most common cyber risks in the construction industry, a sector increasingly vulnerable to cyber threats due to technological advancements. For model training, a simulated dataset was developed through Monte Carlo simulation, and an ensemble method that incorporated Fault Tree Analysis and an intuitive criteria-based method was employed for data labeling. 13 ML model variants, including linear regression, non-linear regression, and neural networks, were tested to evaluate their capability to capture the non-linearity in the dataset. Metrics including MSE, RMSE, MAE, and R2 were employed to select the optimal model for each risk type. The study then conducted analyses for risk factor importance and contribution, using weights for regression models and SHAP values for neural networks as indicators. The risk factor importance analysis highlighted key risk factors that should be prioritized for risk prevention. For validation, a case study on a real construction project proved the effectiveness of our optimal models, demonstrating their real-world accuracy as the models' predictions corresponded with actual risk occurrences. Finally, a greedy optimization-based algorithm was implemented in this project to perform risk factor contribution analysis, providing a risk mitigation strategy for addressing high-contributing risk factors.\", \"bio\": \"I am currently a Ph.D. candidate working in S.M.A.R.T. Construction Research Group , with Prof. Borja Garc\u00eda de Soto as my supervisor. My research focuses on using machine learning and deep learning techniques to analyze risk in the construction industry, with a current focus on cybersecurity. Specifically, my research uses machine learning techniques (especially sequence modeling and NLP techniques) as the core for identifying, assessing, and developing solutions for cyber risks in construction projects. The goal is to build intelligent systems that can automatically conduct the entire process of cyber risk analysis, with a focus on applying advanced machine learning, computer vision and natural language processing techniques. My current projects are as follows:\\n-Project 1: A preliminary SWOT evaluation for the applications of machine learning to cyber risk analysis in the Construction Industry\\n-Project 2: Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Technique\\n-Project 3: A corpus database for cybersecurity topic modeling in the construction industry\\n-Project 4: Enhancing Cyber Risk Identification in the Construction Industry: A Language Model Approach\\n-Project 5: Developing Machine Learning Models for Project-Level Cyber Risk Assessment in Construction\"}, {\"title\": \"Every Contact Leaves a Trace\\\": Side Channel and Micro-architectural Attacks on Modern Cryptosystems\", \"by\": \"Prof. Debdeep Mukhopadhyay\", \"affil\": \"IIT Kharagpur\", \"date\": \"22 Feb\", \"abstract\": \"Cryptography plays a vital role in securing e-business and e-commerce transactions. However, in spite of their mathematical robustness when these algorithms are implemented they may leak sensitive information via unintended side channels. The focus of this talk is to provide an overview on these side channels which exist when the ciphers are executed on various platforms: from embedded systems to more general purpose computing systems. To be more precise, we start with an introduction to popular side channels wherein the power consumption of a crypto-device can leak information of the secret key. Subsequently, we illustrate how faults can be catastrophic for the security of cryptosystems taking a recent attack on Open Portable Trusted Execution Environment (OP-TEE). In the later part of the talk, we illustrate how side channels can also be extended to more general purpose computing systems. It is rather ironic, that the advancements in micro-architectures often are responsible for these glaring weaknesses. The talk attempts to elucidate that as crypto-engineers it is prudent to analyze such leakages to develop a holistic understanding of secured systems, and translate the theory to practice.\", \"bio\": \"Prof. Debdeep Mukhopadhyay is a Visiting Professor in the School of Computer Engineering, NYU Abu Dhabi. He is also an Institute Chair Professor at the Department of CSE, IIT Kharagpur. At IIT Kharagpur he initiated Secured Embedded Architecture Laboratory (SEAL), focusing on Hardware-Security. He holds a Ph.D, M.S., and a B.Tech from IIT Kharagpur. His research interests are on the topics of Cryptographic Engineering, Micro-architectural security and Hardware-Security. Recently he is intrigued by adversarial attacks on machine-learning, and encrypted computations, which includes homomorphic computations and searchable encryptions. Prof. Mukhopadhyay has published more than 250 papers in peer reviewed conferences and journals, and is in the editorial boards and program committees of several top journals and conferences. Prof. Debdeep is the recipient of the prestigious Shanti Swarup Bhatnagar Award 2021 for Science and Technology (highest science honor in India below the age of 45) and is a Fellow of the Indian National Academy of Engineers, and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) for contributions to Information Security. He is also a fellow of C3iHub (Cyber Security and Cyber Security for Cyber-Physical Systems) Innovation Hub of IIT Kanpur, and has been enlisted in Asia\u2019s most outstanding researchers compiled by Asian Scientist Magazine ( https:\/\/tinyurl.com\/2vr8jaks ) . He was awarded the Qualcomm Faculty Award 2022, Khosla National Award from IIT Roorkee 2021, DST Swarnajayanti Fellowship 2015-16, INSA Young Scientist award, INAE Young Engineer award, and Associateship for the Indian Academy of Sciences and is a senior member of IEEE\/ACM.\"}, {\"title\": \"Demystifying Social Media Feeds: A Taxonomy and Transparency for Algorithmic Feed Systems Designs\", \"by\": \"Prof. Damon McCoy\", \"affil\": \"NYU Tandon\", \"date\": \"27 Feb\", \"abstract\": \"Social media companies have designed algorithmic feed systems to deliver content to users. Unlike other recommender systems, social media feed recommendation algorithms attempt to maximize usage, rather than relevance or affinity. Exactly what content is recommended to users and how feed algorithms are designed has come under increasing scrutiny from the public and lawmakers. In this talk, I will propose a taxonomy for evaluation that is specific to social media feed algorithms, which we developed based on a qualitative review of primary source documents from social media companies. We use this framework to perform a case study of X (formerly Twitter)'s recently open-sourced feed algorithm. Finally, we propose a prototype Feed Card to visualize our proposed taxonomy and provide understandable transparency.\", \"bio\": \"Damon McCoy is a Professor of Computer Science and Engineering at New York University's Tandon School of Engineering. His work focuses on the security and privacy issues that emerge at the intersection of technology and society\"}, {\"title\": \"An Introduction to Spiking Neural Networks\", \"by\": \"Dr. Haiyan Jiang\", \"affil\": \"Mohamed bin Zayed University of Artificial Intelligence\", \"date\": \"21 Mar\", \"abstract\": \"This talk will give a comprehensive introduction to Spiking Neural Networks (SNNs), offering valuable insights to machine learning researchers seeking to expand their understanding of neural computation. The talk will delve into the fundamental concepts of SNNs, their unique training challenges, and emerging solutions.\\nMoreover, I will present innovative solutions, including a unified framework for ANN-SNN conversion, Temporal Accumulated Batch Normalization, and online learning with neural dynamics. Attendees will gain a deeper appreciation of SNNs and their potential applications in the evolving field of neural network research.\", \"bio\": \"Dr. Haiyan Jiang currently works as a Postdoc Research Scientist in Machine Learning Department @ MBZUAI.\\nShe holds Ph.D. in Statistics. Before joining MBZUAI, she was working as a Research Scientist @ Baidu Research's Big Data Lab after graduation. She was a visiting Researcher @ HKUST. She is passionate about energy-efficient AI, distributed computing, robust & trustworthy AI.\\nHer research topics include,\\n\ud83e\udde0 SNNs: Developing directly trained and ANN-SNN conversion methods\\n\ud83d\udd78\ufe0f Graph Neural Networks\\n\ud83d\udd0d Self-supervised Learning\\n\ud83d\udd04 Transfer Learning\\n\ud83d\udcc8 Change-Point Detection in Time Series\"}, {\"title\": \"On Optimizing Mobile Memory and Storage\", \"by\": \"Prof. Chun Jason Xue\", \"affil\": \"Mohamed bin Zayed University of Artificial Intelligence\", \"date\": \"7 May\", \"abstract\": \"Current mobile operating systems, such as Android, inherit the Linux kernel. As a result, system software designs that were targeted for servers are now applied in mobile devices. In this series of work, through analyzing mobile application characteristics on files, memory, and storage usage, we found that mobile applications have their own unique characteristics which differ from applications on servers. These differences present new optimization opportunities in mobile memory and storage management. In this talk, I will present several mobile memory and storage management-related works that improve user experience on mobile devices based on mobile application characterization.\", \"bio\": \"Prof. Chun Jason Xue is a professor at the Department of Computer Science, MBZUAI, Abu Dhabi. He received Ph.D. in Computer Science from the University of Texas at Dallas in 2007 and joined the City University of Hong Kong in the same year. He is currently an associate editor of ACM Transactions on Embedded Computing Systems, ACM Transactions on Storage, and ACM Transactions on CPS.\\nHe has served\/serves as General Chair, Program Chair, and Program Committee Member on a number of technical conferences and workshops. He is currently the Steering Committee Chair of ACM SIGPLAN\/SIGBED International Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) since 2020. His research interest includes system software for memory and storage optimizations, considering mobile and embedded platforms, with a focus on memory technologies such as non-volatile memories and flash memories.\"}, {\"title\": \"ICS-QUARTZ: Scan Cycle-Aware and Vendor-Agnostic Fuzzing for Industrial Control Systems\", \"by\": \"Corban Villa\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"23 May\", \"abstract\": \"Industrial Control Systems (ICS) ensure the automation and safe operation of critical processes in industry, energy, and commerce. Despite its importance, ICS code often cannot be evaluated as rig- orously as software on traditional computing platforms, as existing code evaluation tools are unable to readily interface with the closed ICS ecosystem. Moreover, the use of domain-specific languages, the lack of open and extensible compilers, and the deficiency of techniques developed for ICS-specific nuances, among other chal- lenges, hinder the creation of specialized tools. In this paper, we address these challenges by introducing ICS-QUARTZ, the first framework for natively fuzzing IEC 61131-3 Structured Text (ST), a standardized Programmable Logic Controller (PLC) programming language. Native support eliminates the necessity of any vendor or architecture-specific requirements.ICS-QUARTZ outperforms the fastest state-of-the-art fuzzers in the ICS space by more than 15\u00d7 in executions per second. Beyond natively fuzzing ST code, we also extend ICS-QUARTZ to find vul- nerabilities which manifest due to the scan cycle architecture of IEC 61131-3 program execution, a nuance which cannot be analyzed by traditional fuzzers. Using ICS-QUARTZ, we perform the first large-scale fuzzing campaign of real-world ST libraries, resulting in multiple vulnerability disclosures and bug fixes. In addition to vulnerabilities discovered in ST code, ICS-QUARTZ also discovered a bug in an open-source ST compiler, which was leading to gen- eration of vulnerable ST programs. These findings underscore the imperative impact of ICS-QUARTZ in the ICS domain.\", \"bio\": \"Corban Villa is a dedicated undergraduate at New York University Abu Dhabi, pursuing a major in Computer Science with an emphasis on Cybersecurity and a minor in Mathematics. Passionate about research, Corban is particularly interested in the security challenges facing Industrial Control Systems and emerging attacks against large language models.\"}, {\"title\": \"Fast Modular Multiplier\", \"by\": \"Oleg Mazonka\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"8 Sep\", \"abstract\": \"Improving fully homomorphic encryption computation by designing specialized hardware is an active topic of research. The most prominent encryption schemes operate on long polynomials requiring many concurrent modular multiplications of very big numbers. Thus, it is crucial to use many small and efficient multipliers. Interleaved and Montgomery iterative multipliers are the best candidates for the task. Interleaved designs, however, suffer from longer latency as they require a large number of comparisons within each iteration; Montgomery designs, on the other hand, need extra conversion of the operands or the result. In this work, we propose a novel hardware design that combines the best of both worlds: Exhibiting the carry save addition of Montgomery designs without the need for any domain conversions. Experimental results demonstrate improved latency-area product efficiency by up to 47% when compared to the standard Interleaved multiplier for large arithmetic word sizes.\", \"bio\": \"\"}, {\"title\": \"2.5D and 3D Integration - Another Dimension Toward Secure Hardware\", \"by\": \"Dr. Johann Knechtel\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"15 Sep\", \"abstract\": \"As with most aspects of electronic systems, hardware security has traditionally evolved around CMOS technology and traditional integration and packaging options. However, with the rise of various emerging technologies, whose main purpose is to overcome the fundamental limitations for scaling and power consumption of traditional CMOS approaches, unique opportunities do also arise to advance the notion of hardware security. In this talk, I will first introduce the different concepts of hardware security in general and I will review 2.5D and 3D integration as emerging technology option. In the main part of the talk, I will then discuss the application of 2.5D and 3D integration to advance the different concepts for hardware security and I will also outline related and novel challenges.\", \"bio\": \"\"}, {\"title\": \"An Efficient and Privacy Preserving Algorithm for Federated Learning (FL)\", \"by\": \"Nisha Thorakkattu Madathil\", \"affil\": \"United Arab Emirates University\", \"date\": \"22 Sep\", \"abstract\": \"Data sharing between different organizations face intense restrictions due to privacy and security issues especially in healthcare system. Given the sensitive nature of health care information, privacy is a major concern when patients\u2019 health care data is used for research purposes. Data are usually fragmented and private, which makes it difficult to generate robust results across populations. This creates a big barrier for developing effective analytical approaches that are generalizable, which need diverse, \u2018big data.\u2019 Nonetheless, we still need to train machine learning models on the union of the distributed data in order to yield high-performance unbiased models.\\nIn traditional systems, this data is brought into a central server for the training process. However, due to the aforementioned privacy and security issues, single-center failures, and difficulties in transferring large quantities of data, it is not always feasible to bring data into a centralized server. FL would play a pivotal role in the development of smart health care and may be able to take human healthcare to a whole new level. The research mainly focuses on designing a robust, efficient and privacy preserving FL algorithm to train a model in healthcare system.\", \"bio\": \"\"}, {\"title\": \"Graph Neural Networks for Hardware Security and Reliability\", \"by\": \"Dr. Lilas Alrahis\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"29 Sep\", \"abstract\": \"Graph Neural Networks(GNNs) successfully facilitate learning on graph-structured data, such as social networks, recommendation systems, and protein-protein interactions. Since electronic circuits can be represented naturally as graphs, GNNs provide great potential to advance Machine Learning (ML)-based methods for all aspects of electronic system design and Computer-Aided Design (CAD). This talk provides an overview of how GNNs get designed and employed to learn the properties of circuits. Taking hardware security and circuit reliability assessments as target applications, this talk first illustrates how GNNs aid in analyzing flattened\/unstructured gate-level netlists, then demonstrates how to employ GNNs to accurately estimate the impact of process variations and device aging on the delay of any path within a circuit.\", \"bio\": \"\"}, {\"title\": \"Defeating RESIP-based Web Scrapers by Looking at their Network Traces\", \"by\": \"Dr. Marc Dacier\", \"affil\": \"KAUST\", \"date\": \"6 Oct\", \"abstract\": \"Web scraping bots are now using so-called Residential IP Proxy (RESIP) services to defeat state-of-the-art commercial bot countermeasures. RESIP providers promise their customers to give them access to tens of millions of residential IP addresses, which belong to legitimate users. They dramatically complicate the task of the existing anti-bot solutions and give the upper hand to the malicious actors. New specific detection methods are needed to identify and stop scrapers from taking advantage of these parties. In this talk, we will present the results of a 4 months-long experiment carried out to validate the feasibility, soundness, and practicality of a new detection method based on network measurements. This technique enables contacted servers to identify whether an incoming request comes directly from a client device or if it has been proxied through another device.\", \"bio\": \"\"}, {\"title\": \"Security decoupling applied on Internet of Things applications\", \"by\": \"Dr. Jorge David de Hoz Diego\", \"affil\": \"KAUST\", \"date\": \"13 Oct\", \"abstract\": \"Cybercrime activities will have an estimated economic impact of 10.5 trillion USD annually by 2025. Significant attacks supporting these illegal activities depend on exploiting the Internet of Things vulnerabilities. This has pushed regulatory bodies to take action, as has occurred in the EU with the proposition of the Cyber Resilience Act. These activities enforce security policies, such as adequately managing cybersecurity issues during the entire life cycle of devices. However, this represents a significant challenge for manufacturers, distributors and service providers as it remains unclear how to implement these actions effectively in a comprehensive standardized way across different Internet of Things devices. Thus, we are considering separating the security concerns from the applications of the Internet of Things devices to accelerate security updates and simplify patching. If security updates do not affect the device\u2019s main application, the vulnerabilities can be resolved in different types of applications with the same patch. The fundamentals for achieving this rely on a secured proxied communication scheme enforced by local operating-system-managed security contexts. This allows delegating the security functionalities of the application into a portable stand-alone local proxy that handles secured communications to the cloud. Furthermore, the local communication between the application and the proxy is isolated through application-agnostic security contexts operated at a kernel level to reduce the attack surface. This solution is implemented by leveraging widely used long-term supported technology, allowing a smooth implementation into a wide variety of Internet of Things devices.\", \"bio\": \"\"}, {\"title\": \"Accelerating Fully Homomorphic Encryption by Bridging Modular and Bit-Level Arithmetic\", \"by\": \"Dr. Eduardo Chielle\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"20 Oct\", \"abstract\": \"The dramatic increase of data breaches in modern computing platforms has emphasized that access control is not sufficient to protect sensitive user data. Recent advances in cryptography allow end-to-end processing of encrypted data without the need for decryption using Fully Homomorphic Encryption (FHE). Such computation, however, is still orders of magnitude slower than direct computation. Depending on the underlying cryptographic scheme, FHE schemes can work natively either at bit-level using Boolean circuits, or over integers using modular arithmetic. This work proposes a bridging method that blends faster restricted modular computation with slower comprehensive bit-level computation within the same application and cryptographic scheme, enabling conversions between arithmetic modes and improving performance on synthetic benchmarks and a real-world genotype imputation case study.\", \"bio\": \"\"}, {\"title\": \"Tactics, Threat, & Targets: Modeling Disinformation as a Cybersecurity Threat\", \"by\": \"Shujaat Mirza\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"27 Oct\", \"abstract\": \"The current digital landscape facilitates high volumes of information, but promotes low levels of scrutiny by those who consume it, degrading the quality of information in circulation and opening the potential for abuse by targeted attacks. Disinformation is increasingly viewed as a type of cybersecurity threat. Disinformation can be used to sway public opinion toward a certain political or economic direction, adversely impact public health, and mobilize groups to engage in violent disobedience.\\nA major challenge in mitigation is scarcity: disinformation is widespread but its mitigators are few. In this talk, I will present our recent proposal for a cybersecurity-inspired framework that systematically analyzes disinformation threats. To ground our framework in an understanding of the day-to-day reality of the fight against disinformation, we conducted a series of expert interviews with disinformation mitigators. We apply security threat modeling practices to the disinformation landscape, with insights directly informed by the experience of mitigation experts. Systematically characterizing an attacker\u2019s profile, their likely attack patterns, their most-desired targets, and their commonly-deployed techniques can empower disinformation mitigators to effectively tackle dynamic threats under limited resources.\", \"bio\": \"\"}, {\"title\": \"BACKDOOR ATTACKS AND DEFENSE IN TRAFFIC CONTROL SYSTEMS\", \"by\": \"Yue Wang\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"3 Nov\", \"abstract\": \"Recent work has shown that the introduction of autonomous vehicles (AVs) in traffic could help reduce traffic jams. Deep learning methods are in the forefront of techniques used to perform\\ncomplex controls in autonomous vehicles (AVs). However, deep neural networks (DNNs) render\\nautomated driving vulnerable to machine learning-based attacks. Specifically, backdoors are an\\nemerging kind of adversarial attacks on deep neural networks (DNNs), where a secret backdoor\\nis injected into the DNNs by an attacker and activated in the presence of well-designed triggers.\\nThese attacks have been widely explored in the image classification domain.\\nIn this report, we evaluate the vulnerability of autonomous vehicle controller to the adversarial\\nattacks, especially the emerging backdoor attacks in neural networks. We explore the\\nbackdooring of DL-based AV controllers. We explore the backdooring\/trojanning of DL-based\\nAV controllers and develop a trigger design methodology that is based on well-established\\nprinciples of traffic physics. The malicious actions include vehicle deceleration and acceleration\\nto cause traffic congestion to emerge (congestion attacks), or AV acceleration resulting in the\\nAV crashing into the vehicle in front (insurance attack). Then we systematically analyze how\\nrepresentations are affected by backdoor attacks, and propose a PiDAn algorithm. Our analysis\\nshows that representations of poisoned data and genuine data are embedded in different linear\\nsubspaces, which implies they show different coherence with some latent spaces. Based on this\\nobservation, the proposed PiDAn algorithm learns a sample-wise weight vector to maximize the\\nprojected coherence of weighted samples, where the learned weight vector has a natural\\n``grouping effect'' and is distinguishable between authentic data and poisoned data, which\\nenables the detection and mitigation of backdoor attacks.\", \"bio\": \"\"}, {\"title\": \"Quantum Computing for Location Determination Systems\", \"by\": \"Prof. Moustafa Youssef\", \"affil\": \"American University in Cairo\", \"date\": \"17 Nov\", \"abstract\": \"Quantum computing provides a new way for approaching problem solving, enabling efficient solutions for problems that are hard on classical computers. With researchers around the world showing quantum supremacy and the availability of cloud-based quantum computers, quantum computing is becoming a reality.\\nIn this talk, I present both the opportunities and challenges that quantum computing has for location determination research. Specifically, I will provide an example for the expected gain of using quantum algorithms by providing an efficient quantum implementation of the well-known RF fingerprinting algorithms. The proposed quantum algorithm has a complexity that is exponentially better than its classical algorithm version, both in space and running time. I further discuss both software and hardware research challenges and opportunities that researchers can build on to explore this exciting new domain.\", \"bio\": \"Moustafa Youssef is a professor at the American University in Cairo. His research interests include mobile wireless networks, mobile and pervasive computing, location determination technologies, and quantum computing. He is an Associate Editor for IEEE TMC and ACM TSAS, served as the Lead Guest Editor of the IEEE Computer Special Issue on Transformative Technologies, and an Area Editor of ACM MC2R as well as on the organizing and technical committees of numerous prestigious conferences. He is the recipient of the 2003 University of Maryland Invention of the Year award, the 2010 TWAS-AAS-Microsoft Award for Young Scientists, the 2013 and 2014 COMESA Innovation Award, the 2013 ACM SIGSpatial GIS Conference Best Paper Award, the 2017 Egyptian State Award, multiple Google Research Awards, among many others. He is also an IEEE and ACM Fellow.\\nTitle: Quantum Computing for Location Determination Systems\"}, {\"title\": \"Introduction to Fully Homomorphic Encryption\", \"by\": \"Dr. Chiara Marcolla\", \"affil\": \"TII\", \"date\": \"24 Nov\", \"abstract\": \"Homomorphic encryption addresses privacy challenges by enabling multiple operations on encrypted messages without decryption. Namely, homomorphic encryption allows data manipulation in the encrypted domain, which has tremendous application potential since it allows privacy-preserving data processing. The notion of FHE, originally called privacy homomorphism, was introduced by Rivest, Adleman, and Dertouzos in 1978. For more than 30 years, this concept was considered the holy grail of cryptography until, in 2009, Gentry introduced the first FHE scheme in his Ph.D. thesis.\\nIn this presentation, we are going to cover the most significant achievements in the FHE evolution with a focus on error bounds estimation, which is still a challenge in new FHE schemes today.\", \"bio\": \"Chiara Marcolla is a lead researcher at the Cryptography Research Centre at the Technology Innovation Institute (TII), Abu Dhabi, UAE. She specialized in the theory of affine-variety codes, using geometrical and algebraic methods such as the proprieties of Norm-Trace curves and Groebner bases theory of zero-dimensional ideals. Her current research interests include rank-based post-quantum cryptography, searchable and fully homomorphic encryption. She received her Ph.D. degrees in Mathematics from the University of Trento (Italy) in 2013. Between 2013 and 2014, she was a postdoctoral researcher, and she led the Cloud Security Team at the Department of Mathematics of the University of Trento. She was a postdoctoral researcher and had a research fellowship from the Department of Mathematics of the University of Turin (2015-2016).\"}, {\"title\": \"Enabling Fast and Energy-Efficient Cryptography in Edge with Data-Centric Computing\", \"by\": \"Prof. Elaheh Sadredini\", \"affil\": \"University of California, Riverside\", \"date\": \"5 Dec\", \"abstract\": \"With the rise of cloud computing and the Internet of Things (IoT), concerns about data privacy and security are escalating, especially for vulnerable edge devices. An edge computing node may have a number of sensors, which requires large-scale computing capability for authenticating the sensors and negotiating cryptographic keys before securely transferring data. Therefore, cryptographic computation requirements for secure communication and authentication among IoT devices are constantly expanding, and this gets even worse in the post-quantum era. However, due to the limited computing power and energy availability on the battery-operated nodes, data security is often weakened and compromised. In this talk, I will present our recent effort to develop a low-cost, high-throughput, and energy-efficient cryptography engine by re-purposing on-chip caches of IoT devices into active vector computational units to exploit intrinsic parallelism and bitline computational capability of SRAM subarrays for fast and low-overhead crypto primitive implementation. I will conclude this talk by overviewing some of the challenges and open problems in this domain.\", \"bio\": \"Elaheh Sadredini is an Assistant Professor at the Department of Computer Science and Engineering at the University of California, Riverside (UCR). Her research broadly focuses on developing secure, high-performance, and energy-efficient architectures and particularly on enabling efficient IoT security with data-centric computing. Prior to joining UCR in 2020, she earned her Ph.D. in Computer Science from the University of Virginia in 2019. Her work has resulted in several publications at top-tier venues (such as MICRO, ISCA, ASPLOS, HPCA, DAC, ICS, ICCAD, and KDD) and patents. Elaheh is the recipient of several recognitions and awards, including the best paper award at the ACM International Conference on Computing Frontiers in 2016, the \u201cBest of CAL\u201d award in 2019, and a nomination for the best paper award at IISWC\u201919, FCCM\u201920, and HPCA\u201920.\"}, {\"title\": \"Security, Privacy and Trustworthiness in the AI World\", \"by\": \"Prof. Karthik Nandakumar\", \"affil\": \"Mohamed bin Zayed University of Artificial Intelligence\", \"date\": \"15 Dec\", \"abstract\": \"While machine learning is a valuable tool for solving tough problems in many domains including text, speech, and vision, state-of-the-art deep learning models are vulnerable to numerous security and privacy threats. In the first part of the talk, we briefly review these threats and identify key unsolved challenges. Next, we focus on the challenge of preserving the privacy of data used in machine learning. Cryptographic techniques such as fully homomorphic encryption (FHE) offer a potential solution by enabling processing on encrypted data. We present a feasibility analysis of training neural networks and performing inference on encrypted data in a completely non-interactive way. This approach is well-suited for outsourcing machine learning computations to untrusted third-party cloud service providers. We also consider the scenario where data generated by multiple organizations or individuals needs to be leveraged to develop better models. While federated learning is typically used in such scenarios, this framework is generally based on the assumption that all the parties contribute equally and are semi-honest. To overcome these problems, we propose a decentralised collaborative learning framework that respects collaborative fairness, data privacy, and utility at the same time, which will encourage more parties to collaborate.\", \"bio\": \"Karthik Nandakumar is an Associate Professor in the Computer Vision department at\\nMohamed bin Zayed University of Artificial Intelligence (MBZUAI). Prior to joining\\nMBZUAI, he was a Research Staff Member at IBM Research \u2013 Singapore and a Scientist at\\nInstitute for Infocomm Research, A*STAR, Singapore. His primary research interests include\\ncomputer vision, machine learning, biometric recognition, and applied cryptography.\\nSpecifically, he is interested in research on deep learning algorithms for biometrics and video\\nsurveillance applications as well as various security, privacy, and trust-related issues in\\nartificial intelligence. He is a Senior Area Editor of IEEE Transactions on Information\\nForensics and Security (T-IFS) and was a Distinguished Industry Speaker for the IEEE Signal\\nProcessing Society (2020-21).\"}, {\"title\": \"There and Back Again: Leveraging Photonics for Designing Computing Systems\", \"by\": \"Prof. Ajay Joshi\", \"affil\": \"Boston University\", \"date\": \"5 Jan\", \"abstract\": \"Today's computing systems primarily run data-centric applications such as machine learning, graph algorithms, and cognitive processing, which have large compute requirements and data footprints. Unfortunately, technology scaling has slowed down considerably and is not able to keep up with the growing compute and memory needs of these data-centric applications. We need to explore emerging technologies, and correspondingly new computing and memory architectures for these data-centric applications. In this talk, I'll talk about two of our ongoing projects on leveraging photonics for compute and memory.\\nOn the compute front, I'll present the design of a hybrid electro-photonic accelerator called ADEPT. ADEPT leverages a photonic computing core for efficiently performing GEMM operations, a vectorized digital electronic ASIC for performing non-GEMM operations, and SRAM arrays for storing DNN parameters and activations. Different from prior art, we consider a complete hybrid system with photonic and non-photonic components, on-chip and off-chip data transfers, and communication cost. A head-to-head comparison of ADEPT with electronic systolic array architectures shows that ADEPT can provide, on average, 7.19\u00d7 higher inference throughput per watt.\\nOn the memory front, I'll present a unified network and main memory system called COSMOS that combines optically-controlled phase change memory (OPCM) and silicon-photonic links to achieve high memory throughput. COSMOS consists of a hierarchical multi-banked OPCM array with novel read and write access protocols. It uses an Electrical-Optical-Electrical (E-O-E) control unit to map standard DRAM read\/write commands (sent in electrical domain) from the memory controller on to optical signals that access the OPCM cells. COSMOS designed with state-of-the-art technology provides similar performance and energy as DDR5. Compared to an electrically-controlled phase change memory system, our COSMOS system provides 2.09\u00d7 higher read throughput and 2.15\u00d7 higher write throughput, thereby reducing application execution time by 2.14\u00d7, read energy by 1.24\u00d7, and write energy by 4.06\u00d7.\", \"bio\": \"Ajay Joshi received his Ph.D. degree from Georgia Tech in 2006 and then worked as a postdoctoral researcher at MIT. In 2009, he joined the ECE department at Boston University, where he is currently a Professor and the Interim Associate Dean for Educational Initiatives. He was a Visiting Researcher at Google in 2017-18 and is currently an Architect at Lightmatter Inc. His research is in the areas of computer architecture and digital VLSI with current focus on security, machine learning and photonic computing. He received the NSF CAREER Award in 2012, Boston University ECE Department's Award for Excellence in Teaching in 2014, Best Paper Award at ASIACCS 2018, and Google Faculty Research Award in 2018 and 2019. He currently serves as the Associate Editor for IEEE Transactions on VLSI Systems.\"}, {\"title\": \"How to Opt In and Out of Online Privacy: A 300 Billion Dollar Question\", \"by\": \"Prof. Salim El Rouayheb\", \"affil\": \"Rutgers University\", \"date\": \"9 Feb\", \"abstract\": \"Draft summary: This talk examines how users and organizations can opt in and out of online privacy regimes, and why the economics of digital data and advertising make privacy choices consequential at massive scale.\", \"bio\": \"\"}, {\"title\": \"Game theoretical modeling of EDoS attack in cloud computing\", \"by\": \"Dr. KC Lalropuia\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"16 Feb\", \"abstract\": \"This talk will be concerned with Economic denial of sustainability (EDoS) attack which is a type of DDoS attack in cloud computing. As a result of EDoS attacks a very high amount of bills is incurred to cloud users which may lead to service unsustainability. To address this issue a game theoretical modeling is used to determine the best strategy to respond to the attack and how an EDoS attack would be launched under some conditions.\", \"bio\": \"KC Lalropuia is a CITIES Postdoctoral Research associate at New York University Abu Dhabi (NYUAD). He is a member of Center for Cyber Security (CCS) and S.M.A.R.T. Construction Research group, NYUAD. He obtained a Master of Science degree from Indian Institute of Technology Bombay and Ph.D. degree from University of Delhi, India. His main research work is concerned with game theoretical and optimization approach for network security\"}, {\"title\": \"Cyber-physical security of flow-based microfluidic biochips (FMBs) in the era of global pandemics\", \"by\": \"Dr. Navajit Singh Baban\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"23 Feb\", \"abstract\": \"Flow-based microfluidic biochips (FMBs) have seen rapid commercialization and deployment in recent years for point of- care and clinical diagnostics. However, the outsourcing of FMB design and manufacturing makes them susceptible to susceptible to malicious physical level and intellectual property (IP)-theft attacks. This work demonstrates the first structure-based (SB) attack on representative commercial FMBs. The SB attacks maliciously decrease the heights of the FMB reaction chambers to produce false-negative results. We validate this attack experimentally using fluorescence microscopy, which showed a high correlation (R2 = 0.987) between chamber height and related fluorescence intensity of the DNA amplified by polymerase chain reaction. To detect SB attacks, we adopt two existing deep learning-based anomaly detection algorithms with\u223c96% validation accuracy in recognizing such deliberately introduced microstructural anomalies. To safeguard FMBs against intellectual property (IP)-theft, we propose a novel device-level watermarking scheme for FMBs using intensity-height correlation. The countermeasures can be used to proactively safeguard FMBs against SB and IP-theft attacks in the era of global pandemics and personalized medicine.\", \"bio\": \"Navajit Singh Baban received the B.Tech. Degree in Mechanical Engineering from VIT University, Vellore, India, during 2008\u20132012, and the M.Tech. Degree in Materials science from the Indian Institute of Technology, Kanpur, India, during 2012\u20132014, and a Ph.D. degree from NYU Mechanical and Aerospace Engineering, New York, NY, USA, as a Global Ph.D. Fellow, during 2016\u20132021. From 2014 to 2015, he was an Assistant Professor of Mechanical Engineering at Lovely Professional University, Punjab, India. Then, for a brief period of 6 months, he worked as a planning manager with Reliance Industries Ltd., India, before pursuing his Ph.D. Degree at NYU. He is currently working as a postdoctoral associate with the Center for Cyber Security, New York University Abu Dhabi, United Arab Emirates, as a Postdoctoral Associate. His research interests include Cyber-Physical Security of Microfluidic Biochips, Mechanobiology, Sustainability and Bioinspired Adhesion, and Fracture Mechanics.\"}, {\"title\": \"ChatGPT-like Large Language Model as Knowledge Base: Intelligent Cyber Risk Identification in Construction\", \"by\": \"Daniel Yao\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"2 Mar\", \"abstract\": \"In the current digitalized era of Construction 4.0, cyber risk analysis, which helps protect data from cyber incidents, is a crucial task in ensuring the confidentiality, availability and integrity of digital assets, and risk identification is the first step that can provide insights to construction companies about possible threats and vulnerabilities. Natural language processing (NLP) techniques offer a way to automate the risk identification process with a wide coverage, objectivity, accuracy, and speed. In this study, we approach the task of cyber risk identification as a text generation problem and propose the use of generative models (ChatGPT-like) to automatically generate lists of cyber risks. We treat the model as a knowledge database and experiment with four different generative model architectures for text generation. After training on the domain-specific corpus, we ultimately select the autoregressive model architecture as the final model. We also experiment with different decoding techniques and choose Beam Search with a beam width of 2 as the final decoding method. Using the trained model and the chosen decoding method, we generate texts on cyber risks for different phases of a construction project, which are summarized into a checklist that can serve as a reference for construction companies when exploring potential risks.\", \"bio\": \"Daniel Yao is currently a Ph.D. student working in S.M.A.R.T. Construction Research Group , with Prof. Borja Garc\u00eda de Soto. His research focuses on using machine learning and deep learning techniques to analyze risk in the construction industry, with a current focus on cybersecurity. Specifically, his research uses machine learning techniques (especially sequence modeling and NLP techniques) as the core for identifying, assessing, and developing solutions for cyber risks. The goal is to build intelligent systems that can automatically conduct the entire process of cyber risk analysis, with a focus on applying advanced computer vision and natural language processing techniques. His current projects are as follows: -Project 1: A preliminary SWOT evaluation for the applications of machine learning to cyber risk analysis in the Construction Industry\\n-Project 2: Machine learning techniques for cyber risk analysis in the construction Industry: prospects and frameworks\\n-Project 3: A corpus database for cybersecurity topic modeling in the construction industry\\n-Project 4: ChatGPT-like large language model as knowledge base: intelligent cyber risk identification in construction\\n-Project 5: Deep learning-based cyber risk quantification for construction projects\"}, {\"title\": \"Artificial Intelligence meets Digital Forensics: a panorama\", \"by\": \"Prof. Anderson Rocha\", \"affil\": \"University of Campinas\", \"date\": \"10 Mar\", \"abstract\": \"In this talk, we will discuss a panoramic view of digital forensics in the last 10 years and how it needed to evolve from basic computer vision and simple natural language processing techniques to powerful AI-driven methods to deal with the signs of the new age. We will discuss tampering detection, fact-checking, deepfakes, and authorship analysis as well as recent advances in self-supervised learning to deal with large-scale search in some forensics problems.\", \"bio\": \"Prof. Anderson Rocha is an associate professor at the Institute of Computing, University of Campinas (UNICAMP) since December, 2009. He received a bachelor's degree in Computer Science from Federal University of Lavras (UFLA) in 2003. In addition, he holds a Masters degree (2006) and a PhD (2009) in Computer Science from the University of Campinas Institute of Computing. He worked at the same Institute as a Postdoc fellow until December 2009.\\nHis main research interests include problems related to Digital Forensics, Biometrics, Pattern Analysis and Machine Intelligence and Reasoning for Complex Data.\"}, {\"title\": \"How Russia is trying to block Tor\", \"by\": \"Roger Dingledine\", \"affil\": \"The Tor Project\", \"date\": \"15 Mar\", \"abstract\": \"In December 2021, some ISPs in Russia started blocking Tor's website,\\nalong with protocol-level (DPI) and network-level (IP address) blocking to\\ntry to make it harder for people in Russia to reach the Tor network. We're\\nnow at a steady-state where they are trying to find new IP addresses to\\nblock and we're rotating IP addresses to keep up.\\nIn this talk I'll walk through what steps the Russian censors have taken,\\nand how we reverse engineered their attempts and changed our strategies\\nand our software. Then we'll discuss where the arms race goes from here,\\nwhat new techniques the anti-censorship world needs if we're going to\\nstay ahead of future attacks, and what it means for the world that more\\nand more countries are turning to network-level blocking as the solution\\nto their political problems.\", \"bio\": \"Roger Dingledine is president and co-founder of the Tor Project, a\\nnonprofit that develops free and open source software to protect people\\nfrom tracking, censorship, and surveillance online.\\nWearing one hat, Roger works with journalists and activists on many\\ncontinents to help them understand and defend against the threats they\\nface. Wearing another, he is a lead researcher in the online anonymity\\nfield, coordinating and mentoring academic researchers working on\\nTor-related topics. Since 2002 he has helped organize the yearly\\ninternational Privacy Enhancing Technologies Symposium (PETS).\\nAmong his achievements, Roger was chosen by the MIT Technology Review\\nas one of its top 35 innovators under 35, he co-authored the Tor design\\npaper that won the Usenix Security \\\"Test of Time\\\" award, EFF picked\\nhim for a Pioneer Award, and he has been recognized by Foreign Policy\\nmagazine as one of its top 100 global thinkers.\"}, {\"title\": \"Cart-ology: Intercepting Targeted Advertising via Ad Network Identity Entanglement\", \"by\": \"Dr. Damon McCoy\", \"affil\": \"NYU Tandon\", \"date\": \"16 Mar\", \"abstract\": \"Targeted advertising is a pervasive practice in the advertising ecosystem, with complex representations of user identity central to targeting. Ad networks are incentivized to tie ephemeral cookies across devices to lasting durable identifiers such as email addresses in order to develop comprehensive cross-device user profiles. In this presentation, I will discuss a vulnerability in cross-device tracking. This attack which we call Identity Engagement enables an attacker to extract specific user browsing behavior from ad networks remotely, knowing only a victim\u2019s email address, with no access to the victim, ad network, or websites. We find identity entanglement is a significant user privacy vulnerability where attackers can learn detailed victim browsing activity such as retail websites, products, and even specific apartments or hotels the victim has interacted with. The vulnerability is also bidirectional, with the attacker able to cause specific ads to be shown to the victim, introducing the possibility of embarrassment attacks and blackmail. We have disclosed the vulnerability; Criteo, one of the largest third-party ad networks, acknowledges the attack.\", \"bio\": \"Damon McCoy is an Associate Professor of Computer Science and Engineering at New York University's Tandon School of Engineering. His research focuses on empirically measuring the security and privacy of technology systems along their intersections with society.\"}, {\"title\": \"Leaking & Injecting Wi-Fi Traffic and the Ethics of Surveying Networks\", \"by\": \"Dr. Mathy Vanhoef\", \"affil\": \"KU Leuven\", \"date\": \"23 Mar\", \"abstract\": \"The first part of this talk covers new vulnerabilities that can be abused to leak Wi-Fi traffic. This is based on our USENIX Security '23 paper. The idea is to manipulate the security context associated with queued frames. The second part of the talk discusses how Wi-Fi networks can be tested for FragAttacks packet injection vulnerabilities, and whether it's ethical to perform a Wi-Fi survey to test all networks within a given region for these injection vulnerabilities.\", \"bio\": \"\"}, {\"title\": \"Cybersecurity Aspects of Operational Technologies in Construction\", \"by\": \"Semih Sonkor\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"30 Mar\", \"abstract\": \"The construction industry is going through a digital transformation where automation and\\nrobotics are slowly making their way into construction projects. This change brings numerous benefits,\\nsuch as cost and time efficiency and higher accuracy and quality. At the same time, it raises\\ncybersecurity concerns. Since most construction environments are far from being human-free in the\\nnear future, the importance of providing robust cybersecurity when utilizing operational technologies\\nsuch as robots is augmented.\\nThis talk will explain the increasing need for cybersecurity studies within the construction community\\nbased on our findings and will give an overview of our previous and ongoing research on this topic, with\\na particular focus on construction automation and robotics. The talk will also cover the first academic-\\ndriven cybersecurity competition in the construction context, Hack My Robot (HMR), as part of CSAW\u201922\\nMENA. The motivation behind it, lessons learned from the competition, and some of the results will be\\npresented.\", \"bio\": \"\"}, {\"title\": \"Hardware-Assisted Non-Intrusive Security Controls for Modern Industrial Control Systems\", \"by\": \"Prashant Hari Narayan Rajput\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"13 Apr\", \"abstract\": \"Traditionally, Industrial Control System (ICS) devices remained isolated from the Information Technology (IT) systems of the enterprise network, creating a boundary often referred to as the air gap. Over the years, organizations have steadily integrated Industrial Internet of Things (IIoT) devices in the Operational Technology (OT) network to realize the technological benefits of Industry 4.0, such as automation to enable supply chain optimizations, predictive maintenance, and more. However, the poor cybersecurity posture of such IIoT devices makes the OT sector a prolific target for exploitation, resulting in increased cyberattacks on critical infrastructure in recent years. Therefore, ICS devices also require security controls similar to the ones available for the IT domain. Nevertheless, available approaches do not directly apply due to the unique ICS constraints, such as low computational power, legacy Operating System (OS), and maintaining hard real-time requirements.\\nTo address the shortcoming of traditional security controls in the ICS domain, this research\\ncommences by analyzing the impact of process-aware cyberattacks on critical infrastructure to systematically understand and expose weaknesses in these systems, allowing for building appropriate defenses. A process-aware cyberattack assumes that the adversary has prior knowledge about the physical processes of the plant, allowing them to maximize impact. The cyberattack is evaluated against a thermal desalination plant to study financial losses due to decreased distillate output and mechanical damages on the pipes due to a water hammer attack, revealing the attack vectors. Such attacks can infect various layers of an ICS device, including the kernel or the firmware of the device, user space that executes maintenance processes, and the control logic level that monitors and controls the physical process of critical infrastructure, requiring security controls at each of these layers.\\nOn the kernel level, this research proposes an injection prevention mechanism for kernel-level rootkits that hook to the syscall table by detecting modifications to critical static data structures using hardware watchpoints. On the other hand, it uses outlier detection with static file analysis features to detect user-level rootkits before preloading by establishing a chain of trust rooted in hardware. Preventing the injection of rootkits is critical because they are notoriously difficult to remove after injection, especially on the lower levels. Typically, malware detection in the user space employs static file analysis or behavioral analysis features. This research explores both approaches in the context of ICS. The static file analysis-based approach collects the suitable static features directly from the text section of the currently executing processes (avoiding the obfuscation issue) to detect the presence of malware using a Support Vector Machine (SVM) model. The behavioral analysis-based approach utilizes kernel (semantic) and microarchitectural event counts to detect abnormal system behavior, identifying the execution of malware using an SVM model. Using semantic and microarchitectural event counts provide a holistic system view, making it difficult for malware to mask its activities.\\nFinally, control applications executing on Programmable Logic Controllers (PLCs) regulate the physical industrial processes in critical infrastructures, requiring similar security controls. Vulnerabilities in the control logic can impact the runtime software and even compromise the complete PLC. To this end, this research implements a framework capable of simulating the execution of a memory snapshot of a control application for automatically detecting vulnerabilities such as out-of-bounds read\/write, OS command injection, and improper input validation using predefined vulnerability rules. During the simulation, it also constructs a data dependence graph to track data flow, allowing for automated vulnerability localization and determining a suitable patch location. Finally, it can also automatically patch vulnerabilities by populating skeleton patches and using a trampoline function for redirection without hindering the execution of the control logic. Since ICS devices operate undisturbed for long periods, control critical physical processes, and provide low computational power, all the proposed security controls are non-intrusive and out-of-the-device using assistance from the hardware.\", \"bio\": \"Prashant Hari Narayan Rajput was born in Mumbai, India. He received his Bachelor in Engineering (B.E.) from the Savitribai Phule Pune University (SPPU) in Computer Engineering in 2016. In December 2017, Prashant completed his Master of Science (M.S.) degree from the University of California - Los Angeles (UCLA) in Computer Science. He has worked as a research assistant at the Center for Cyber Security - NYU Abu Dhabi (2017-2018), focusing on Industrial Control Systems (ICS) security, and at Meta (Summer 2021 & 2022), building software tools to improve infrastructure security. His research focuses on embedded systems security, ICS security, vulnerability identification, and patching.\"}, {\"title\": \"Flexible Modular Multiplier\", \"by\": \"Oleg Mazonka\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"27 Apr\", \"abstract\": \"This presentation is about a new multiplier design that provides flexibility with regards to the operand sizes it can process. The multiplier can efficiently support different configurations of operand sizes within the same hardware, for example 1 1024-bit multiplication or 16 parallel 64-bit multiplications. This can be useful in the case of fully homomorphic encryption (FHE) or other modular arithmetic applications, where the operand sizes vary depending on the application.\", \"bio\": \"Oleg Mazonka is currently a Research Associate working in Modern Microprocessors Architecture Lab , with Prof. Michail Maniatakos. Oleg holds a Ph.D. in theoretical physics. His interests include efficient privacy preserving computation, foundations of computation, programming, artificial and natural languages as well as alternative artificial intelligence.\"}, {\"title\": \"Bypassing Tunnels: Leaking VPN Client Traffic by Abusing Routing Tables\", \"by\": \"Nian Xue\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"4 May\", \"abstract\": \"Virtual Private Networks (VPNs) authenticate and encrypt network traffic to protect users\u2019 security and privacy, and are used in professional and personal settings to defend against malicious actors, circumvent censorship, remotely work from home, etc. It is therefore essential that VPNs are secure.\\nIn this talk, I will present two novel attacks, called Local IP Camouflage and VPN Server Spoofing, that cause VPN clients to leak traffic outside the protected VPN tunnel. The root cause of both attacks is a widespread design flaw in how clients configure the Operating System (OS) to route all traffic through the VPN tunnel. This is typically done by updating\\nthe system\u2019s IP routing tables such that all traffic will first pass through the VPN client. However, some routing exceptions are added to ensure the system keeps functioning properly, namely that traffic to the local network, and to the VPN server itself, is sent outside the VPN tunnel. We show that by setting up a Wi-Fi access point or by spoofing DNS responses, an adversary can manipulate these exceptions to make the victim send arbitrary traffic in plaintext outside the VPN tunnel. We confirm our findings in practice by conducting 248 experiments against 66 of the most representative VPN providers on Windows, macOS, iOS, Linux, and Android. Our experimental results reveal that a significant number (126 and 39) and proportion (64.6% and 73.6%) of free, paid, open-source, corporate, and built-in VPN clients are vulnerable to (variants of) our two attacks respectively, suffering from leaky traffic. We discuss countermeasures to mitigate the vulnerabilities and confirm the effectiveness of selected defenses in practice.\", \"bio\": \"Nian Xue is a Ph.D. candidate in the Cyber Security and Privacy (CSP) lab under the supervision of Prof. Christina\"}, {\"title\": \"ICSML: Industrial Control Systems ML Framework for native inference using IEC 61131-3 code\", \"by\": \"Constantine Doumanidis\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"11 May\", \"abstract\": \"Industrial Control Systems (ICS) have played a catalytic role in enabling the 4th Industrial Revolution. ICS devices like Programmable Logic Controllers (PLCs), automate, monitor, and control critical processes in industrial, energy, and commercial environments. The convergence of traditional Operational Technology (OT) with Information Technology (IT) has opened a new and unique threat landscape. This has inspired defense research that focuses heavily on Machine Learning (ML) based anomaly detection methods that run on external IT hardware, which means an increase in costs and the further expansion of the threat landscape. To remove this requirement, we introduce the ICS machine learning inference framework (ICSML) which enables executing ML model inference natively on the PLC. ICSML is implemented in IEC 61131-3 code and provides several optimizations to bypass the limitations imposed by the domain-specific languages. Therefore, it works on every PLC without the need for vendor support. ICSML provides a complete set of components for creating full ML models similarly to established ML frameworks.\\nWe run a series of benchmarks studying memory and performance and compare our solution to theTFLite inference framework. At the same time, we develop domain-specific model optimizations toimprove the efficiency of ICSML. To demonstrate the abilities of ICSML, we evaluate a case study of a real defense for process-aware attacks targeting a desalination plant.\", \"bio\": \"Constantine is a Research Assistant with MoMA lab at New York University Abu Dhabi. He holds a Masters degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki in Greece. His research interests currently lie in the fields of Machine Learning, Embedded Systems, and Industrial Control Systems security.\"}, {\"title\": \"Privacy Leaks from Code Generation Language Models\", \"by\": \"Liang Niu\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"18 May\", \"abstract\": \"Code generation language models are trained on billions of lines of source code to provide code\\ngeneration and auto-completion features, like those offered by code assistant GitHub Copilot with more than a million users. These datasets may contain sensitive personal information\u2013 personally identifiable, private or secret\u2013 that these models may regurgitate. This paper develops and tests a semi-automated pipeline for extracting sensitive personal information from the Codex model that powers GitHub Copilot and is trained on GitHub repositories. First, we design templates to automatically construct prompts that are more likely to induce privacy leaks. Second, given the non-public nature of training data, we propose and refine a semi-automated method to filter the generated code in favor of actually leaking personal information from the\\ntraining data; for this purpose, we use a blind membership inference attack followed by hit rate through Github Search API as a distinguishing heuristic. Third, we perform human-in-the-loop evaluation to reveal that roughly 8% of our constructed prompts yield privacy leaks (43 leaks from 512 prompts). We further make relevant observations, in particular we uncover that the model is more likely to produce indirect leaks that generate information of individuals in close vicinity of the queried subject in the training corpus, compromising privacy as contextual integrity construct.\", \"bio\": \"Liang Niu is a Ph.D. candidate in the Cyber Security and Privacy (CSP) lab under the supervision of Prof. Christina P\u00f6pper\"}, {\"title\": \"AI-based fake base stations detection\", \"by\": \"Siwar Kriaa\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"1 Jun\", \"abstract\": \"Attacks targeting Radio Access Network (RAN) communications are still a real concern for all mobile operators and UE manufacturers. Attackers can use fake base stations (FBS) which consist in deploying hardware and software to conduct passive and active attacks against mobile subscribers (IMSI catching, user tracking, eavesdropping). We propose in this talk an ML-based approach to detect FBS using existing measurements already collected at the RAN. Based on knowledge graphs, our approach has the advantage of combining detection and prediction to diagnose FBS. While the former uses deterministic rules, the latter is based on Convolutional Networks trained over Knowledge Graphs.\", \"bio\": \"Siwar Kriaa is a security researcher at Nokia Bell Labs with a focus on security in the 5G radio access networks using knowledge modeling and machine learning techniques. She also worked on detecting and predicting attacks from host-based logs using the MITRE ATT&amp;CK framework, automating the risk management process with qualitative and quantitative risk assessment and reliability in SoftwareDefined Networks. She worked previously in CEA Laboratory for real-time embedded systems development on model-based security and safety risk analyses for industrial systems. She received her PhD (CIFRE) in 2016 from CentralSupelec and EDF R&amp;D (Electricit\u00e9 de France) where she worked on the specification and development of a tool-based approach for joint safety and security risk assessment for Cyber Physical Systems and its application on real industrial use cases. She received her Master of Science degree in Telecommunications from Polytechnic Institute of Grenoble in 2012. She has five patents and ten scientific publications.\"}, {\"title\": \"Game theoretic modeling of malicious insider threats to Common Data Environment (CDE) in the AEC industry\", \"by\": \"Dr. KC Lalropuia\", \"affil\": \"NYU Abu Dhabi\", \"date\": \"8 Jun\", \"abstract\": \"A Common Data Environment (CDE) is a platform that provides project participants and stakeholders with efficient data access in construction projects resulting in effective collaboration among the stakeholders. Although CDE has many advantages, it also\\nprovides an attractive target for cyber-attackers, particularly malicious insiders who are\\nauthorized to access it. In recent years the architecture, engineering and construction\\n(AEC) industry has witnessed a rapid digitization of data and the adoption of communication technologies that offer many opportunities to improve efficiency and\\nproductivity but also open up greater opportunities for insiders to launch cyberattacks.\\nInsiders can be motivated by various factors, such as financial gain, espionage, etc., to\\ndo malicious activities that render CDE highly insecure with regard to sensitive data. A\\nsignificant challenge is that insider behavior is not completely known; that is, an insider\\ncan either act as a legitimate or malicious one to carry out an adversarial act. To address this issue, in this work, we consider the interactions between an insider and the data defender and propose incomplete information game models to study malicious insider behavior toward sensitive data stored\/shared in a CDE. We then predict the malicious insider behavior to determine the best defense strategies by computing Bayesian Nash equilibria of the proposed game models to counter insider threats to CDE. Furthermore, we validate the proposed models by simulation experiments and present numerical illustrations that give insights into how insiders and the data defender would interact in the event of malicious insider attacks.\", \"bio\": \"KC Lalropuia is a CITIES Postdoctoral Research associate at New York University Abu\\nDhabi (NYUAD). He is a member of Center for Cyber Security (CCS) and S.M.A.R.T.\\nConstruction Research group, NYUAD. His research work is concerned with network security\\nusing game theoretic approach and stochastic modeling of communication networks.\"}];<!-- [et_pb_line_break_holder] -->  var modal=document.getElementById('csemModal');<!-- [et_pb_line_break_holder] -->  var elTitle=modal.querySelector('.csem-modal-title');<!-- [et_pb_line_break_holder] -->  var elBy=modal.querySelector('.csem-modal-by');<!-- [et_pb_line_break_holder] -->  var elBody=modal.querySelector('.csem-modal-body');<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  function paras(container,text,cls){<!-- [et_pb_line_break_holder] -->    container.innerHTML='';<!-- [et_pb_line_break_holder] -->    \/\/ split paragraphs only on blank lines; treat stray hard-wrap newlines as spaces<!-- [et_pb_line_break_holder] -->    (text||'').split(\/\\n\\s*\\n\/).forEach(function(p){<!-- [et_pb_line_break_holder] -->      p=p.replace(\/\\s*\\n\\s*\/g,' ').trim(); if(!p) return;<!-- [et_pb_line_break_holder] -->      var el=document.createElement('p'); if(cls) el.className=cls;<!-- [et_pb_line_break_holder] -->      el.textContent=p; container.appendChild(el);<!-- [et_pb_line_break_holder] -->    });<!-- [et_pb_line_break_holder] -->  }<!-- [et_pb_line_break_holder] -->  function open(i){<!-- [et_pb_line_break_holder] -->    var d=DATA[i]; if(!d) return;<!-- [et_pb_line_break_holder] -->    elTitle.textContent=d.title;<!-- [et_pb_line_break_holder] -->    elBy.innerHTML='';<!-- [et_pb_line_break_holder] -->    var b=document.createElement('span'); b.innerHTML='<b>'+esch(d.by)+'<\/b>'; elBy.appendChild(b);<!-- [et_pb_line_break_holder] -->    if(d.affil){var s=document.createElement('span'); s.textContent=d.affil; elBy.appendChild(s);}<!-- [et_pb_line_break_holder] -->    if(d.date){var s2=document.createElement('span'); s2.textContent=d.date; elBy.appendChild(s2);}<!-- [et_pb_line_break_holder] -->    paras(elBody,d.abstract);<!-- [et_pb_line_break_holder] -->    if(d.bio && d.bio.length>20){<!-- [et_pb_line_break_holder] -->      var h=document.createElement('div'); h.className='csem-modal-sub'; h.textContent='Biography';<!-- [et_pb_line_break_holder] -->      elBody.appendChild(h);<!-- [et_pb_line_break_holder] -->      var bio=document.createElement('div'); bio.className='csem-modal-bio';<!-- [et_pb_line_break_holder] -->      paras(bio,d.bio); elBody.appendChild(bio);<!-- [et_pb_line_break_holder] -->    }<!-- [et_pb_line_break_holder] -->    modal.hidden=false; document.body.style.overflow='hidden';<!-- [et_pb_line_break_holder] -->  }<!-- [et_pb_line_break_holder] -->  function close(){modal.hidden=true; document.body.style.overflow='';}<!-- [et_pb_line_break_holder] -->  function esch(s){return (s||'').replace(\/&\/g,'&amp;').replace(\/<\/g,'&lt;').replace(\/>\/g,'&gt;');}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  root.addEventListener('click',function(e){<!-- [et_pb_line_break_holder] -->    var btn=e.target.closest('.csem-abtn');<!-- [et_pb_line_break_holder] -->    if(btn){open(+btn.getAttribute('data-i')); return;}<!-- [et_pb_line_break_holder] -->    if(e.target.hasAttribute('data-csem-close')) close();<!-- [et_pb_line_break_holder] -->  });<!-- [et_pb_line_break_holder] -->  document.addEventListener('keydown',function(e){if(e.key==='Escape'&&!modal.hidden) close();});<!-- [et_pb_line_break_holder] -->})();<!-- [et_pb_line_break_holder] --><\/script>[\/et_pb_fullwidth_code][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-243765","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/pages\/243765","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=243765"}],"version-history":[{"count":12,"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/pages\/243765\/revisions"}],"predecessor-version":[{"id":243813,"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=\/wp\/v2\/pages\/243765\/revisions\/243813"}],"wp:attachment":[{"href":"https:\/\/sites.nyuad.nyu.edu\/ccs-ad\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=243765"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}