Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training

15 July 2023

Xiaogeng Liu

Papers citing "Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training"

23 / 23 papers shown

Title
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking Junxi Chen Junhao Dong Xiaohua Xie 30 0 0 08 Apr 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization Y. Zhang Yingzhe Xu Junyu Shi L. Zhang Shengshan Hu Minghui Li Yanjun Zhang AAML 40 1 0 17 Mar 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Ziqi Zhou Bowen Li Yufei Song Zhifei Yu Shengshan Hu Wei Wan L. Zhang Dezhong Yao Hai Jin AAML 120 2 0 22 Dec 2024
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 Janet Liu Ivor Tsang Fellow Xiaochun Cao AAML 33 3 0 04 Nov 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 15 1 0 09 Oct 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou Yufei Song Minghui Li Shengshan Hu Xianlong Wang Leo Yu Zhang Dezhong Yao Hai Jin 18 11 0 26 Sep 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 16 0 0 22 Aug 2024
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space Yunfeng Diao Baiqi Wu Ruixuan Zhang Xun Yang Meng Wang He Wang 21 0 0 11 Jul 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification Xianlong Wang Shengshan Hu Yechao Zhang Ziqi Zhou Leo Yu Zhang Peng Xu Wei Wan Hai Jin AAML 20 3 0 21 Jun 2024
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks Boheng Li Yishuo Cai Haowei Li Feng Xue Zhifeng Li Yiming Li MQ AAML 19 9 0 21 May 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 48 8 0 31 Mar 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 32 9 0 16 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 32 1 0 27 Feb 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 11 2 0 30 Jan 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 32 9 0 16 Jan 2024
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability Junxi Chen Junhao Dong Xiaohua Xie AAML DiffM 9 5 0 13 Jan 2024
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip H. S. Torr Jindong Gu AAML 19 5 0 30 Nov 2023
Downstream-agnostic Adversarial Examples Ziqi Zhou Shengshan Hu Rui-Qing Zhao Qian Wang L. Zhang Junhui Hou Hai Jin SILM AAML 8 24 0 23 Jul 2023
Why neural networks find simple solutions: the many regularizers of geometric complexity Benoit Dherin Michael Munn M. Rosca David Barrett 48 30 0 27 Sep 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks Jiawei Du Hanshu Yan Jiashi Feng Joey Tianyi Zhou Liangli Zhen Rick Siow Mong Goh Vincent Y. F. Tan AAML 99 132 0 07 Oct 2021
Stochastic Training is Not Necessary for Generalization Jonas Geiping Micah Goldblum Phillip E. Pope Michael Moeller Tom Goldstein 76 72 0 29 Sep 2021
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks Wei-An Lin Chun Pong Lau Alexander Levine Ramalingam Chellappa S. Feizi AAML 69 60 0 05 Sep 2020
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 175 271 0 03 Dec 2018