Can Adversarial Training Be Manipulated By Non-Robust Features?

Can Adversarial Training Be Manipulated By Non-Robust Features?

31 January 2022

Sheng-Jun Huang

Papers citing "Can Adversarial Training Be Manipulated By Non-Robust Features?"

16 / 16 papers shown

Title
A Survey on Adversarial Machine Learning for Code Data: Realistic Threats, Countermeasures, and Interpretations Yulong Yang Haoran Fan Chenhao Lin Qian Li Zhengyu Zhao Chao Shen Xiaohong Guan AAML 48 0 0 12 Nov 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 28 0 0 06 Nov 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
Toward Availability Attacks in 3D Point Clouds Yifan Zhu Yibo Miao Yinpeng Dong Xiao-Shan Gao 3DPC AAML 51 3 0 26 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 28 1 0 05 Jun 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 36 1 0 16 Feb 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang Yifan Zhu Xiao-Shan Gao AAML 33 6 0 06 Feb 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 36 3 0 06 Jan 2024
Detection and Defense of Unlearnable Examples Yifan Zhu Lijia Yu Xiao-Shan Gao AAML 24 7 0 14 Dec 2023
Adversarial Examples Are Not Real Features Ang Li Yifei Wang Yiwen Guo Yisen Wang 20 11 0 29 Oct 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? Fnu Suya X. Zhang Yuan Tian David E. Evans OOD AAML 26 2 0 03 Jul 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 40 11 0 02 Mar 2023
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 156 190 0 13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala A. Madry Ashish Kapoor WIGM 65 59 0 22 Dec 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 678 0 19 Oct 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,112 0 04 Nov 2016