Generalist: Decoupling Natural and Robust Generalization

Generalist: Decoupling Natural and Robust Generalization

24 March 2023

Papers citing "Generalist: Decoupling Natural and Robust Generalization"

12 / 12 papers shown

Title
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 80 0 0 30 Mar 2025
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi Steffen Jung M. Keuper AAML 29 3 0 30 Oct 2024
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection Peng Huang Shu Hu Bo Peng Jiashu Zhang Xi Wu Xin Wang 31 5 0 25 Jun 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo Yuji Wang Zeming Wei Yisen Wang AAML SILM 47 24 0 09 Feb 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 33 0 0 08 Dec 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective Yifei Wang Liangchen Li Jiansheng Yang Zhouchen Lin Yisen Wang 16 11 0 30 Oct 2023
Splitting the Difference on Adversarial Training Matan Levi A. Kontorovich 23 4 0 03 Oct 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 12 9 0 09 May 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 27 49 0 25 Mar 2023
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
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017