Defending against Backdoors in Federated Learning with Robust Learning Rate
Authors: Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel | Published: 2020-07-07 | Updated: 2021-07-29
敵対的学習
Backdoor attacks and defenses in feature-partitioned collaborative learning
Authors: Yang Liu, Zhihao Yi, Tianjian Chen | Published: 2020-07-07
Stochastic Linear Bandits Robust to Adversarial Attacks
Authors: Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett | Published: 2020-07-07 | Updated: 2020-10-27
Robust Learning with Frequency Domain Regularization
Authors: Weiyu Guo, Yidong Ouyang | Published: 2020-07-07
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability
Authors: Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem | Published: 2020-07-07 | Updated: 2020-07-18
Black-box Adversarial Example Generation with Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-06
On Data Augmentation and Adversarial Risk: An Empirical Analysis
Authors: Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard A. Moser, Gerhard Widmer | Published: 2020-07-06
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
Authors: Ihai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach | Published: 2020-07-05 | Updated: 2021-03-13
Relationship between manifold smoothness and adversarial vulnerability in deep learning with local errors
Authors: Zijian Jiang, Jianwen Zhou, Haiping Huang | Published: 2020-07-04 | Updated: 2020-12-23
Smooth Adversarial Training
Authors: Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le | Published: 2020-06-25 | Updated: 2021-07-11