Stability Analysis and Generalization Bounds of Adversarial Training

3 October 2022

Jiancong Xiao

Papers citing "Stability Analysis and Generalization Bounds of Adversarial Training"

24 / 24 papers shown

Title
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability Lijia Yu Yibo Miao Yifan Zhu Xiao-Shan Gao Lijun Zhang 48 0 0 06 Mar 2025
Generalization Bounds for Equivariant Networks on Markov Data Hui Li Zhiguo Wang Bohui Chen Li Sheng 29 0 0 01 Mar 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 44 2 0 08 Jan 2025
Exploring the Generalization Capabilities of AID-based Bi-level Optimization C. L. Philip Chen Li Shen Zhiqiang Xu W. Liu Zhi-Quan Luo Peilin Zhao 65 0 0 25 Nov 2024
Generalizability of Memorization Neural Networks Lijia Yu Xiao-Shan Gao Lijun Zhang Yibo Miao 28 1 0 01 Nov 2024
Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu Xiao Zhang AAML 25 0 0 10 Oct 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack Lijia Yu Shuang Liu Yibo Miao Xiao-Shan Gao Lijun Zhang AAML 32 5 0 02 Jun 2024
RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu Huakun Luo Yuezhou Ma Jianmin Wang Mingsheng Long AI4CE 32 6 0 23 May 2024
Uniformly Stable Algorithms for Adversarial Training and Beyond Jiancong Xiao Jiawei Zhang Zhimin Luo Asuman Ozdaglar AAML 40 0 0 03 May 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 13 0 0 26 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 27 3 0 06 Jan 2024
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 28 1 0 25 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization Jiancong Xiao Ruoyu Sun Zhimin Luo AAML 30 6 0 09 Oct 2023
Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent Xiaoge Deng Li Shen Shengwei Li Tao Sun Dongsheng Li Dacheng Tao 20 3 0 18 Aug 2023
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training Rajdeep Haldar Qifan Song AAML 23 0 0 30 Jul 2023
Adversarial Training with Generated Data in High-Dimensional Regression: An Asymptotic Study Yue Xing 22 0 0 21 Jun 2023
Towards Understanding Clean Generalization and Robust Overfitting in Adversarial Training Binghui Li Yuanzhi Li AAML 22 3 0 02 Jun 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 21 270 0 14 Apr 2023
Adversarial Rademacher Complexity of Deep Neural Networks Jiancong Xiao Yanbo Fan Ruoyu Sun Zhimin Luo AAML 15 22 0 27 Nov 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 24 79 0 12 Oct 2022
Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis Jiancong Xiao Zeyu Qin Yanbo Fan Baoyuan Wu Jue Wang Zhimin Luo AAML 20 7 0 02 Oct 2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples Jiancong Xiao Liusha Yang Yanbo Fan Jue Wang Zhimin Luo OOD 18 13 0 02 Oct 2022
What is a Good Metric to Study Generalization of Minimax Learners? Asuman Ozdaglar S. Pattathil Jiawei Zhang K. Zhang 11 13 0 09 Jun 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 345 0 15 Dec 2021