Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training

2 June 2023

Papers citing "Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training"

6 / 6 papers shown

Title
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 32 0 0 10 Oct 2024
Can overfitted deep neural networks in adversarial training generalize? -- An approximation viewpoint Zhongjie Shi Fanghui Liu Yuan Cao Johan A. K. Suykens 32 0 0 24 Jan 2024
$Is Certifying $\ell_p$ Robustness Still Worthwhile?$ Is Certifying $\ell_p$ Robustness Still Worthwhile? Ravi Mangal Klas Leino Zifan Wang Kai Hu Weicheng Yu Corina S. Pasareanu Anupam Datta Matt Fredrikson AAML OOD 33 1 0 13 Oct 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 354 12,003 0 04 Mar 2022
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 134 103 0 17 Oct 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016