Improving Generalization of Adversarial Training via Robust Critical
Fine-Tuning

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

1 August 2023

Papers citing "Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning"

15 / 15 papers shown

Title
Adversarial Examples in Environment Perception for Automated Driving (Review) Jun Yan Huilin Yin AAML 34 0 0 11 Apr 2025
Feature Statistics with Uncertainty Help Adversarial Robustness Ran A. Wang Xinlei Zhou Rihao Li Meng Hu Wenhui Wu Yuheng Jia AAML 75 0 0 26 Mar 2025
Unified Enhancement of the Generalization and Robustness of Language Models via Bi-Stage Optimization Y. Sun Juan Yin Juan Zhao Fan Zhang Yongheng Liu Hongji Chen 35 0 0 19 Mar 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 55 0 0 27 Feb 2025
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation Yuheng Ji Yue Liu Zhicheng Zhang Zhao Zhang Yuting Zhao Gang Zhou Xingwei Zhang Xinwang Liu Xiaolong Zheng VLM 108 4 0 21 Feb 2025
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 66 0 0 03 Dec 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 0 0 19 Oct 2024
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes Y. Wang Li Liu Zi Liang Qingqing Ye Haibo Hu AAML 18 0 0 16 Oct 2024
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models Kangtao Lv Huangsen Cao Kainan Tu Yihuai Xu Zhimeng Zhang Xin Ding Yongwei Wang MoMe AAML VLM 14 1 0 08 Oct 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 27 0 0 19 Aug 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 40 9 0 16 Mar 2024
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou Dawei Zhou Decheng Liu Xinbo Gao Nannan Wang AAML 22 0 0 26 Jan 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Mingda Zhang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 30 14 0 13 Dec 2023
Indirect Gradient Matching for Adversarial Robust Distillation Hongsin Lee Seungju Cho Changick Kim AAML FedML 48 2 0 06 Dec 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 25 0 0 23 Nov 2023