Machine Learning · Computer Science
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong
Warren He, James Wei, Xinyun Chen, Nicholas Carlini +1
2017-06-16
Machine Learning · Computer Science
On Evaluating Adversarial Robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel +5
2019-02-21
Machine Learning · Computer Science
ReabsNet: Detecting and Revising Adversarial Examples
Jiefeng Chen, Zihang Meng, Changtian Sun, Wei Tang +1
2017-12-25
Computer Vision and Pattern Recognition · Computer Science
On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples
Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu
2018-05-10
Computer Vision and Pattern Recognition · Computer Science
APE-GAN: Adversarial Perturbation Elimination with GAN
Shiwei Shen, Guoqing Jin, Ke Gao, Yongdong Zhang
2017-09-27
Machine Learning · Computer Science
Learning Defense Transformers for Counterattacking Adversarial Examples
Jincheng Li, Jiezhang Cao, Yifan Zhang, Jian Chen +1
2021-03-16
Machine Learning · Computer Science
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramer, Nicholas Carlini, Wieland Brendel, Aleksander Madry
2020-10-26
Machine Learning · Computer Science
Advocating for Multiple Defense Strategies against Adversarial Examples
Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne
2020-12-07
Computer Vision and Pattern Recognition · Computer Science
Adversarial Example Defense via Perturbation Grading Strategy
Shaowei Zhu, Wanli Lyu, Bin Li, Zhaoxia Yin +1
2024-12-10
Machine Learning · Computer Science
Provably Minimally-Distorted Adversarial Examples
Nicholas Carlini, Guy Katz, Clark Barrett, David L. Dill
2018-02-21
Machine Learning · Computer Science
Position: Towards Resilience Against Adversarial Examples
Sihui Dai, Chong Xiang, Tong Wu, Prateek Mittal
2024-10-10
Machine Learning · Computer Science
Adversarial attacks hidden in plain sight
Jan Philip Göpfert, André Artelt, Heiko Wersing, Barbara Hammer
2020-04-28
Machine Learning · Computer Science
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
2020-10-27
Computer Vision and Pattern Recognition · Computer Science
Robust Tracking against Adversarial Attacks
Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang
2020-07-30
Cryptography and Security · Computer Science
Attack as Defense: Characterizing Adversarial Examples using Robustness
Zhe Zhao, Guangke Chen, Jingyi Wang, Yiwei Yang +2
2021-03-16
Machine Learning · Computer Science
Squeeze Training for Adversarial Robustness
Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
2023-02-13
Computer Vision and Pattern Recognition · Computer Science
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
Federico Nesti, Alessandro Biondi, Giorgio Buttazzo
2021-08-17
Machine Learning · Computer Science
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu
2018-01-16