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
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance Chun Liu Bingqian Zhu Tao Xu Zheng Zheng Z. Li Wei Yang Zhigang Han Jiayao Wang 98 0 0 12 Jun 2025
How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World Francesco Panebianco Mario DÓnghia Stefano Zanero aand Michele Carminati AAML 15 0 0 03 Jun 2025
On the Robustness of Distributed Machine Learning against Transfer Attacks Sébastien Andreina Pascal Zimmer Ghassan O. Karame AAML OOD 106 0 0 18 Dec 2024
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
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 377 0 0 13 Oct 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency Bhavna Gopal Huanrui Yang Jingyang Zhang Mark Horton Yiran Chen AAML 83 0 0 19 Aug 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 135 6 0 14 Jul 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao Biqing Qi Yao Li Zhichang Guo Dong Li Yuming Xing Dazhi Zhang AAML 70 7 0 08 Jun 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 74 0 0 10 May 2024
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? Anjun Hu Jindong Gu Francesco Pinto Konstantinos Kamnitsas Philip Torr AAML SILM 84 5 0 19 Mar 2024
Investigating Deep Watermark Security: An Adversarial Transferability Perspective Biqing Qi Junqi Gao Yiang Luo Jianxing Liu Ligang Wu Bowen Zhou AAML 54 3 0 26 Feb 2024
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Jiaqi Wang Han Liu Jinghui Chen Ting Wang Fenglong Ma OOD AAML 46 2 0 16 Feb 2024
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 54 0 0 21 Dec 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 106 31 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 99 6 0 26 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Tianyu Du Jinguo Zhu Han Liu Jinghui Chen Ting Wang Fenglong Ma AAML VLM CoGe 89 44 0 07 Oct 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 73 13 0 28 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 81 3 0 15 Aug 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 94 8 0 14 Jun 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 71 18 0 23 Apr 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 81 19 0 07 Mar 2023
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 105 23 0 19 Feb 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 82 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 91 28 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 74 18 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 49 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 107 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 114 10 0 21 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 83 84 0 12 Oct 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks Chenghao Sun Yonggang Zhang Chaoqun Wan Qizhou Wang Ya Li Tongliang Liu Bo Han Xinmei Tian AAML MLAU 84 5 0 29 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks Abhishek Aich Shasha Li Chengyu Song M. Salman Asif S. Krishnamurthy Amit K. Roy-Chowdhury AAML 81 9 0 20 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 72 35 0 08 Sep 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 62 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 48 8 0 18 Jul 2022
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images Zhengyu Zhao Nga Dang Martha Larson 37 0 0 03 Jun 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 86 7 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 64 0 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 83 43 0 30 Mar 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 159 65 0 27 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 61 2 0 09 Dec 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 76 14 0 22 Nov 2021
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 87 3 0 13 Oct 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 98 80 0 06 Oct 2021
Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks Kendra Albert Maggie K. Delano B. Kulynych Ramnath Kumar AAML 120 5 0 11 Jul 2021
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 79 39 0 05 Jul 2021
Delving into the pixels of adversarial samples Blerta Lindqvist AAML 37 0 0 21 Jun 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 91 95 0 08 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 75 44 0 03 Jun 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 73 33 0 25 May 2021
Staircase Sign Method for Boosting Adversarial Attacks Qilong Zhang Xiaosu Zhu Jingkuan Song Lianli Gao Heng Tao Shen AAML 88 13 0 20 Apr 2021