HRFA: High-Resolution Feature-based Attack
Authors: Zhixing Ye, Sizhe Chen, Peidong Zhang, Chengjin Sun, Xiaolin Huang | Published: 2020-01-21 | Updated: 2020-10-22
敵対的攻撃検出
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet
Authors: Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang | Published: 2020-01-16 | Updated: 2020-10-21
Square Attack: a query-efficient black-box adversarial attack via random search
Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Authors: Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger | Published: 2019-10-16 | Updated: 2019-12-04
Universal, transferable and targeted adversarial attacks
Authors: Junde Wu, Rao Fu | Published: 2019-08-29 | Updated: 2022-06-13
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Authors: Zhen Xiang, David J. Miller, George Kesidis | Published: 2019-08-27 | Updated: 2020-08-19
Adversarial Edit Attacks for Tree Data
Authors: Benjamin Paaßen | Published: 2019-08-25 | Updated: 2019-08-27
Characterizing Attacks on Deep Reinforcement Learning
Authors: Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Jinfeng Yi, Zijiang Yang, Mingyan Liu, Bo Li, Dawn Song | Published: 2019-07-21 | Updated: 2022-02-16
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
Authors: Jirong Yi, Hui Xie, Leixin Zhou, Xiaodong Wu, Weiyu Xu, Raghuraman Mudumbai | Published: 2019-05-25
On the Connection Between Adversarial Robustness and Saliency Map Interpretability
Authors: Christian Etmann, Sebastian Lunz, Peter Maass, Carola-Bibiane Schönlieb | Published: 2019-05-10