Understanding Robust Overfitting of Adversarial Training and Beyond

17 June 2022

Chaojian Yu

Bo Han

Li Shen

Papers citing "Understanding Robust Overfitting of Adversarial Training and Beyond"

39 / 39 papers shown

Title
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Rihao Li Meng Hu Wenhui Wu Yuheng Jia AAML 82 0 0 26 Mar 2025
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization Shuang Liu Yihan Wang Yifan Zhu Yibo Miao Xiao-Shan Gao 66 0 0 06 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 50 0 0 02 Mar 2025
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 33 2 0 09 Oct 2024
Cat-and-Mouse Satellite Dynamics: Divergent Adversarial Reinforcement Learning for Contested Multi-Agent Space Operations Cameron Mehlman Joseph Abramov Gregory Falco AAML 35 0 0 26 Sep 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment Kejia Zhang Juanjuan Weng Zhiming Luo Shaozi Li AAML 34 0 0 12 Aug 2024
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls Aras Selvi Eleonora Kreacic Mohsen Ghassemi Vamsi K. Potluru T. Balch Manuela Veloso 37 0 0 18 Jul 2024
Shedding More Light on Robust Classifiers under the lens of Energy-based Models Mujtaba Hussain Mirza Maria Rosaria Briglia Senad Beadini I. Masi AAML 28 1 0 08 Jul 2024
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency Runqi Lin Chaojian Yu Bo Han Hang Su Tongliang Liu AAML 40 3 0 25 May 2024
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization Runqi Lin Chaojian Yu Tongliang Liu AAML 35 9 0 11 Apr 2024
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou Xiaobo Xia Zhiwei Lin Bo Han Tongliang Liu VLM 42 10 0 21 Mar 2024
Towards White Box Deep Learning Maciej Satkiewicz AAML 34 1 0 14 Mar 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement Daiwei Yu Zhuorong Li Lina Wei Canghong Jin Yun Zhang Sixian Chan 37 5 0 14 Mar 2024
The Effectiveness of Random Forgetting for Robust Generalization V. Ramkumar Bahram Zonooz Elahe Arani AAML 26 1 0 18 Feb 2024
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement Chi Zhang Jingjing Fan Man Ho Au Siu-Ming Yiu 28 1 0 17 Feb 2024
Initialization Matters for Adversarial Transfer Learning Andong Hua Jindong Gu Zhiyu Xue Nicholas Carlini Eric Wong Yao Qin AAML 29 6 0 10 Dec 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 31 11 0 30 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 38 1 0 25 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 24 9 0 24 Oct 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
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach Shaopeng Fu Di Wang AAML 36 1 0 09 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang Michael Backes Xiao Zhang AAML 40 1 0 06 Oct 2023
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training Rajdeep Haldar Qifan Song AAML 31 0 0 30 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-man Cheung VLM MedIm 47 21 0 26 Jul 2023
Robust Spatiotemporal Traffic Forecasting with Reinforced Dynamic Adversarial Training Fan Liu Weijiao Zhang Haowen Liu AI4TS OOD 10 9 0 25 Jun 2023
Adversarial Attacks Neutralization via Data Set Randomization Mouna Rabhi Roberto Di Pietro AAML 28 0 0 21 Jun 2023
Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alexander Robey Fabian Latorre George J. Pappas Hamed Hassani V. Cevher AAML 66 12 0 19 Jun 2023
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training Binghui Li Yuanzhi Li AAML 26 3 0 02 Jun 2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness Edward A. Small Kacper Sokol Daniel Manning Flora D. Salim Jeffrey Chan FaML 19 6 0 19 Apr 2023
Re-thinking Model Inversion Attacks Against Deep Neural Networks Ngoc-Bao Nguyen Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-man Cheung 32 38 0 04 Apr 2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification Kun He Xin Liu Yichen Yang Zhou Qin Weigao Wen Hui Xue J. Hopcroft AAML 30 0 0 24 Mar 2023
Certified Robust Neural Networks: Generalization and Corruption Resistance Amine Bennouna Ryan Lucas Bart P. G. Van Parys 38 10 0 03 Mar 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 50 0 24 Jan 2023
A3T: Accuracy Aware Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Sanjay Chawla 17 6 0 29 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting Muhammad Zaid Hameed Beat Buesser AAML 11 1 0 25 Nov 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 22 9 0 07 Apr 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 181 67 0 28 Feb 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 197 345 0 15 Dec 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 161 113 0 05 Mar 2020