Benign Overfitting in Adversarially Robust Linear Classification

Benign Overfitting in Adversarially Robust Linear Classification

31 December 2021

Quanquan Gu

Papers citing "Benign Overfitting in Adversarially Robust Linear Classification"

11 / 11 papers shown

Title
Scanning Trojaned Models Using Out-of-Distribution Samples Hossein Mirzaei Ali Ansari Bahar Dibaei Nia Mojtaba Nafez Moein Madadi ... Kian Shamsaie Mahdi Hajialilue Jafar Habibi Mohammad Sabokrou M. Rohban OODD 59 2 0 28 Jan 2025
Adversarial Training Can Provably Improve Robustness: Theoretical Analysis of Feature Learning Process Under Structured Data Binghui Li Yuanzhi Li OOD 28 2 0 11 Oct 2024
On the Benefits of Over-parameterization for Out-of-Distribution Generalization Yifan Hao Yong Lin Difan Zou Tong Zhang OODD OOD 21 4 0 26 Mar 2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint Zhongjie Shi Fanghui Liu Yuan Cao Johan A. K. Suykens 12 0 0 24 Jan 2024
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training Binghui Li Yuanzhi Li AAML 17 3 0 02 Jun 2023
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen Songtao Lu Tianyi Chen MLT 20 14 0 27 Jun 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min-Bin Lin Xiao Yang Junyi Zhu Shuicheng Yan 6 119 0 21 Feb 2022
The Implicit Bias of Benign Overfitting Ohad Shamir 91 35 0 27 Jan 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 344 0 15 Dec 2021
Foolish Crowds Support Benign Overfitting Niladri S. Chatterji Philip M. Long 83 20 0 06 Oct 2021
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,813 0 08 Jul 2016