Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability

29 April 2020

Lawrence Carin

Yiran Chen

AAML

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Papers citing "Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability"

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Title
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 201 0 0 23 Nov 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 144 0 0 13 Oct 2024
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 44 2 0 03 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 34 27 0 01 Jan 2023
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 28 16 0 18 Dec 2022
Carpet-bombing patch: attacking a deep network without usual requirements Pol Labarbarie Adrien Chan-Hon-Tong Stéphane Herbin Milad Leyli-Abadi AAML 32 1 0 12 Dec 2022
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
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work Jiawei Zhang Yushun Zhang Mingyi Hong Ruoyu Sun Zhi-Quan Luo 29 10 0 21 Oct 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 29 2 0 18 Aug 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 31 8 0 18 Jul 2022
Transferable Physical Attack against Object Detection with Separable Attention Yu Zhang Z. Gong Yichuang Zhang Yongqiang Li Kangcheng Bin Jiahao Qi Wei Xue Ping Zhong AAML 32 5 0 19 May 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 31 42 0 30 Mar 2022
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 41 14 0 22 Nov 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 47 79 0 06 Oct 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 38 38 0 05 Jul 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 24 31 0 25 May 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 43 13 0 20 Apr 2021
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 44 122 0 21 Dec 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016