Understanding Catastrophic Overfitting in Single-step Adversarial
Training

Understanding Catastrophic Overfitting in Single-step Adversarial Training

5 October 2020

Papers citing "Understanding Catastrophic Overfitting in Single-step Adversarial Training"

18 / 18 papers shown

Title
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos Songping Wang Hanqing Liu Yueming Lyu Xiantao Hu Ziwen He Luu Anh Tuan Caifeng Shan Lei Wang AAML 91 0 0 21 Apr 2025
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 38 1 0 02 Oct 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Rethinking Adversarial Training with Neural Tangent Kernel Guanlin Li Han Qiu Shangwei Guo Jiwei Li Tianwei Zhang AAML 22 0 0 04 Dec 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 33 7 0 13 Oct 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 31 1 0 15 May 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge Xiaojun Jia Yong Zhang Xingxing Wei Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 34 26 0 01 Apr 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Exploring the Effect of Multi-step Ascent in Sharpness-Aware Minimization Hoki Kim Jinseong Park Yujin Choi Woojin Lee Jaewook Lee 20 9 0 27 Jan 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 41 2 0 03 Jan 2023
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David A. Wagner AAML 31 14 0 12 Dec 2022
Safe Control Under Input Limits with Neural Control Barrier Functions Simin Liu Changliu Liu John M. Dolan AAML 19 38 0 20 Nov 2022
Bag of Tricks for FGSM Adversarial Training Zichao Li Li Liu Zeyu Wang Yuyin Zhou Cihang Xie AAML 33 6 0 06 Sep 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 46 37 0 21 Jul 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 30 119 0 21 Feb 2022
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 44 56 0 24 Nov 2021
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis Jay Roberts AAML 22 11 0 22 Dec 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 26 18 0 19 May 2020