Evaluating Ensemble Robustness Against Adversarial Attacks
Authors: George Adam, Romain Speciel | Published: 2020-05-12
敵対的サンプル
Towards Robustness against Unsuspicious Adversarial Examples
Authors: Liang Tong, Minzhe Guo, Atul Prakash, Yevgeniy Vorobeychik | Published: 2020-05-08 | Updated: 2020-10-08
Towards Frequency-Based Explanation for Robust CNN
Authors: Zifan Wang, Yilin Yang, Ankit Shrivastava, Varun Rawal, Zihao Ding | Published: 2020-05-06
Adversarial Training against Location-Optimized Adversarial Patches
Authors: Sukrut Rao, David Stutz, Bernt Schiele | Published: 2020-05-05 | Updated: 2020-12-14
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware?
Authors: Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli | Published: 2020-05-04 | Updated: 2021-05-27
Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees
Authors: Jacob H. Seidman, Mahyar Fazlyab, Victor M. Preciado, George J. Pappas | Published: 2020-05-01
Improved Image Wasserstein Attacks and Defenses
Authors: Edward J. Hu, Adith Swaminathan, Hadi Salman, Greg Yang | Published: 2020-04-26 | Updated: 2023-05-09
Adversarial Attacks and Defenses: An Interpretation Perspective
Authors: Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, Xia Hu | Published: 2020-04-23 | Updated: 2020-10-07
Adversarial Machine Learning in Network Intrusion Detection Systems
Authors: Elie Alhajjar, Paul Maxwell, Nathaniel D. Bastian | Published: 2020-04-23
Certifying Joint Adversarial Robustness for Model Ensembles
Authors: Mainuddin Ahmad Jonas, David Evans | Published: 2020-04-21