Adaptive Image Transformations for Transfer-based Adversarial Attack

27 November 2021

Papers citing "Adaptive Image Transformations for Transfer-based Adversarial Attack"

21 / 21 papers shown

Title
No Query, No Access Luu Anh Tuan Siyuan Liang Yuyao Zhang Xiaojun Jia Hao Lin Xiaochun Cao AAML 26 0 0 12 May 2025
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 122 0 0 13 Oct 2024
On the Adversarial Transferability of Generalized "Skip Connections" Yisen Wang Yichuan Mo Dongxian Wu Mingjie Li Xingjun Ma Zhouchen Lin AAML 31 2 0 11 Oct 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 39 14 0 23 May 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 71 2 0 27 Feb 2024
Rethinking Impersonation and Dodging Attacks on Face Recognition Systems Fengfan Zhou Qianyu Zhou Bangjie Yin Hui Zheng Xuequan Lu Lizhuang Ma Heifei Ling AAML 44 3 0 17 Jan 2024
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 30 2 0 28 Nov 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 33 6 0 26 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks Xiaojun Jia Jianshu Li Jindong Gu Yang Bai Xiaochun Cao AAML 24 9 0 24 Oct 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng-Wei Zhang Xunguang Wang Lin Wu AAML 37 11 0 23 Oct 2023
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework Xilie Xu Jingfeng Zhang Mohan Kankanhalli AAML 17 10 0 03 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 24 59 0 26 Sep 2023
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 27 20 0 17 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 44 7 0 28 Oct 2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations Lei Hsiung Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML 17 30 0 09 Feb 2022
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 197 345 0 15 Dec 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 83 193 0 31 Jan 2021
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
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,838 0 03 Feb 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,225 0 16 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,110 0 04 Nov 2016