Modeling Adversarial Noise for Adversarial Training

Modeling Adversarial Noise for Adversarial Training

21 September 2021

Nannan Wang

Bo Han

Papers citing "Modeling Adversarial Noise for Adversarial Training"

9 / 9 papers shown

Title
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders Yuqiu Liu Huanqian Yan Xiaopei Zhu Xiaolin Hu L. Tang Hang Su Chen Lv 29 0 0 07 May 2025
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training Jiacheng Zhang Feng Liu Dawei Zhou Jingfeng Zhang Tongliang Liu AAML 43 2 0 02 Jun 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 32 3 0 25 May 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 35 0 0 26 Jan 2024
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 31 7 0 13 Oct 2023
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria Nuoyan Zhou Nannan Wang Decheng Liu Dawei Zhou Xinbo Gao AAML 33 2 0 05 Oct 2023
Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection Longrong Yang Xianpan Zhou Xuewei Li Liang Qiao Zheyang Li Zi-Liang Yang Gaoang Wang Xi Li 21 17 0 28 Aug 2023
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 35 46 0 07 Jul 2022