Boosting the Transferability of Adversarial Attacks with Reverse
Adversarial Perturbation

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

12 October 2022

Zeyu Qin

Li Shen

Yong Zhang

ArXiv (abs)PDF HTML Github (35★)

Papers citing "Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation"

14 / 14 papers shown

Title
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 525 0 0 23 Nov 2024
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models Hao-Ran Cheng Erjia Xiao Jiayan Yang Jinhao Duan Yichi Wang ... Qiang Zhang Le Yang Kaidi Xu Jindong Gu Renjing Xu AAML 137 10 0 30 May 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 114 11 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 176 3 0 27 Feb 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 99 8 0 28 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 113 29 0 08 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 137 3 0 20 Nov 2023
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 84 23 0 19 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 102 6 0 26 Oct 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 145 24 0 15 Jul 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 97 8 0 14 Jun 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 111 70 0 16 Mar 2023
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 73 2 0 18 Aug 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 83 11 0 18 Jun 2022