AML-L.1: Adversarial Machine Learning I |
| Symposium: Signal Processing for Adversarial Machine Learning |
| Session Type: Lecture |
| Time: Thursday, November 29, 14:00 - 15:30 |
| Location: Castle |
| Session Chairs: Sijia Liu, IBM and Pin-Yu Chen, IBM Research AI |
| 14:00 - 14:18 |
| AML-L.1.1: DIFFERENTIALLY PRIVATE SPARSE INVERSE COVARIANCE ESTIMATION |
| Di Wang; State University of New York at Buffalo |
| Mengdi Huai; State University of New York at Buffalo |
| Jinhui Xu; State University of New York at Buffalo |
| 14:18 - 14:36 |
| AML-L.1.2: DEFENDING DNN ADVERSARIAL ATTACKS WITH PRUNING AND LOGITS AUGMENTATION |
| Siyue Wang; Northeastern University |
| Xiao Wang; Boston University |
| Shaokai Ye; Syracuse University |
| Pu Zhao; Northeastern University |
| Xue Lin; Northeastern University |
| 14:36 - 14:54 |
| AML-L.1.3: ON THE UTILITY OF CONDITIONAL GENERATION BASED MUTUAL INFORMATION FOR CHARACTERIZING ADVERSARIAL SUBSPACES |
| Chia-Yi Hsu; National Chung Hsing University |
| Pei-Hsuan Lu; National Chung Hsing University |
| Pin-Yu Chen; IBM Research AI |
| Chia-Mu Yu; National Chung Hsing University |
| 14:54 - 15:12 |
| AML-L.1.4: BACKDOOR ATTACKS ON NEURAL NETWORK OPERATIONS |
| Joseph Clements; Clemson University |
| Yingjie Lao; Clemson University |
| 15:12 - 15:30 |
| AML-L.1.5: ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM |
| Tsui-Wei Weng; Massachusetts Institute of Technology |
| Huan Zhang; University of California, Davis |
| Pin-Yu Chen; IBM Research AI |
| Aurelie Lozano; IBM Research AI |
| Cho-Jui Hsieh; University of California, Davis |
| Luca Daniel; Massachusetts Institute of Technology |
