Improving Fast Adversarial Training with Prior-Guided Knowledge

Improving Fast Adversarial Training with Prior-Guided Knowledge

1 April 2023

Yong Zhang

Papers citing "Improving Fast Adversarial Training with Prior-Guided Knowledge"

19 / 19 papers shown

Title
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization Chaohu Liu Tianyi Gui Yu Liu Linli Xu VLM AAML 68 1 0 02 Apr 2025
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack Xiaojun Jia Sensen Gao Qing-Wu Guo Ke Ma Yihao Huang Simeng Qin Yang Liu Ivor Tsang Fellow Xiaochun Cao AAML 46 3 0 04 Nov 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 25 0 0 21 Oct 2024
Adversarial Training: A Survey Mengnan Zhao Lihe Zhang Jingwen Ye Huchuan Lu Baocai Yin Xinchao Wang AAML 28 1 0 19 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 113 0 0 13 Oct 2024
Improving Fast Adversarial Training via Self-Knowledge Guidance Chengze Jiang Junkai Wang Minjing Dong Jie Gui Xinli Shi Yuan Cao Yuan Yan Tang James Tin-Yau Kwok 34 1 0 26 Sep 2024
Perception-guided Jailbreak against Text-to-Image Models Yihao Huang Le Liang Tianlin Li Xiaojun Jia Run Wang Weikai Miao G. Pu Yang Liu 41 7 0 20 Aug 2024
Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning Xinwei Liu Xiaojun Jia Yuan Xun Siyuan Liang Xiaochun Cao 42 7 0 23 Jul 2024
Texture Re-scalable Universal Adversarial Perturbation Yihao Huang Qing Guo Felix Juefei-Xu Ming Hu Xiaojun Jia Xiaochun Cao Geguang Pu Yang Liu AAML 32 7 0 10 Jun 2024
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory Sensen Gao Xiaojun Jia Xuhong Ren Ivor Tsang Qing-Wu Guo AAML 38 14 0 19 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao Xizhe Wang Xingxing Wei 29 2 0 09 Dec 2023
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization Dongchen Han Xiaojun Jia Yang Bai Jindong Gu Yang Liu Xiaochun Cao VLM 30 22 0 07 Dec 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 29 9 0 16 Jul 2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters Xingxing Wei Shiji Zhao Bo li AAML 34 4 0 06 Jun 2023
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems A. Huq Weiyi Zhang Xiaolin Hu AAML 19 3 0 10 Mar 2023
Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain Chang-rui Liu Wenzhao Xiang Yuan He H. Xue Shibao Zheng Hang Su 40 3 0 28 Feb 2023
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 161 113 0 05 Mar 2020
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 64 264 0 30 Nov 2018