Robustness, Privacy, and Generalization of Adversarial Training
Authors: Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao | Published: 2020-12-25
敵対的サンプル
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
FoggySight: A Scheme for Facial Lookup Privacy
Authors: Ivan Evtimov, Pascal Sturmfels, Tadayoshi Kohno | Published: 2020-12-15
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-12-03 | Updated: 2021-03-09
Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Authors: Rui Shu, Tianpei Xia, Laurie Williams, Tim Menzies | Published: 2020-11-23 | Updated: 2021-10-12
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
Authors: Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen | Published: 2020-11-10 | Updated: 2022-06-18
Adversarial Examples in Constrained Domains
Authors: Ryan Sheatsley, Nicolas Papernot, Michael Weisman, Gunjan Verma, Patrick McDaniel | Published: 2020-11-02 | Updated: 2022-09-09
Reliable Graph Neural Networks via Robust Aggregation
Authors: Simon Geisler, Daniel Zügner, Stephan Günnemann | Published: 2020-10-29
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Authors: Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann | Published: 2020-10-28 | Updated: 2021-06-11
Asymptotic Behavior of Adversarial Training in Binary Classification
Authors: Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis | Published: 2020-10-26 | Updated: 2021-07-14