Program
(Last update: 2021-06-26)
Note that times are expressed in 24-hour clock (e.g. 08:00 is 08:00 am, 14:00 is 02:00 pm).
Friday, July 2, 2021
| PDT |
UTC |
GST |
EDT |
|
| 07:00 |
14:00 |
18:00 |
10:00 |
Opening
|
| 07:00 |
14:00 |
18:00 |
10:00 |
Keynote: It’s A Bird, It’s A Plane, It’s "That" UAV
Kaushik Chowdhury, Northeastern University, Boston, USA
|
| 07:50 |
14:50 |
18:50 |
10:50 |
Break (10 min)
|
| 08:00 |
15:00 |
19:00 |
11:00 |
Session 1 (Chair: Deniz Gunduz)
Adversarial Machine Learning |
-
Adversarial Attacks on Deep Learning-based Floor Classification and Indoor Localization
(Mohini Patil, Xuyu Wang, Xiangyu Wang, and Shiwen Mao)
-
Inaudible Manipulation of Voice-Enabled Devices Through BackDoor Using Robust Adversarial Audio Attacks: Invited Paper
(Morriel Kasher, Michael Zhao, Aryeh Greenberg, Devin Gulati, Silvija Kokalj-Filipovic, and Predrag Spasojevic)
-
Explainability-based Backdoor Attacks Against Graph Neural Networks
(Jing Xu, Minhui (Jason) Xue, and Stjepan Picek)
-
Low-cost Influence-Limiting Defense against Adversarial Machine Learning Attacks in Cooperative Spectrum Sensing
(Zhengping Luo, Shangqing Zhao, Rui Duan, Zhuo Lu, Yalin E. Sagduyu, and Jie Xu)
|
| 09:00 |
16:00 |
20:00 |
12:00 |
Break (10 min)
|
| 09:10 |
16:10 |
20:10 |
12:10 |
Session 2 (Chair: Burak Kantarci)
Machine Learning for Privacy |
|
|
| 10:10 |
17:10 |
21:10 |
13:10 |
Break (10 min)
|
| 10:20 |
17:20 |
21:20 |
13:20 |
Session 3 (Chair: Dola Saha)
Machine Learning for RF Fingerprinting and Anti-Jamming |
-
Intermittent Jamming against Telemetry and Telecommand of Satellite Systems and A Learning-driven Detection Strategy
(Selen Gecgel and Gunes Karabulut Kurt)
-
Multi-Agent Reinforcement Learning Approaches to RF Fingerprint Enhancement
(Joseph Carmack, Steve Schmidt, and Scott Kuzdeba)
-
A Machine Learning Approach for Detecting and Classifying Jamming Attacks Against OFDM-based UAVs
(Jered Pawlak, Yuchen Li, Joshua Price, Matthew Wright, Khair Al Shamaileh, Quamar Niyaz, and Vijay Devabhaktuni)
-
RiftNeXt™: Explainable Deep Neural RF Scene Classification
(Steve Schmidt, James Stankowicz, Joseph Carmack, and Scott Kuzdeba)
|
| 11:20 |
18:20 |
22:20 |
14:20 |
Break (10 min)
|
| 11:30 |
18:30 |
22:30 |
14:30 |
Session 4 (Chair: M Cenk Gursoy)
Machine Learning Applications for Network Security |
|
|
| 12:30 |
19:30 |
23:30 |
15:30 |
Closing |
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UTC |
GST |
EDT |
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