Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks
Authors: Sarada Krithivasan, Sanchari Sen, Anand Raghunathan | Published: 2020-06-14 | Updated: 2020-09-14
敵対的攻撃
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Authors: Mitch Hill, Jonathan Mitchell, Song-Chun Zhu | Published: 2020-05-27 | Updated: 2021-03-18
Effects of Forward Error Correction on Communications Aware Evasion Attacks
Authors: Matthew DelVecchio, Bryse Flowers, William C. Headley | Published: 2020-05-27
A Protection against the Extraction of Neural Network Models
Authors: Hervé Chabanne, Vincent Despiegel, Linda Guiga | Published: 2020-05-26 | Updated: 2020-07-31
Keyed Non-Parametric Hypothesis Tests
Authors: Yao Cheng, Cheng-Kang Chu, Hsiao-Ying Lin, Marius Lombard-Platet, David Naccache | Published: 2020-05-25
Adversarial Feature Selection against Evasion Attacks
Authors: Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli | Published: 2020-05-25
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Authors: Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan | Published: 2020-05-23
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
Authors: Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, Prateek Mittal | Published: 2020-05-17 | Updated: 2021-03-31
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection
Authors: Olga Petrova, Karel Durkota, Galina Alperovich, Karel Horak, Michal Najman, Branislav Bosansky, Viliam Lisy | Published: 2020-04-22
Provably robust deep generative models
Authors: Filipe Condessa, Zico Kolter | Published: 2020-04-22