Transferable Perturbations of Deep Feature Distributions

27 April 2020

Nathan Inkawhich

Kevin J Liang

Lawrence Carin

Yiran Chen

AAML

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Papers citing "Transferable Perturbations of Deep Feature Distributions"

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Title
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability Hui Zeng Sanshuai Cui Biwei Chen Anjie Peng AAML 42 0 0 31 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 178 0 0 23 Nov 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao Biqing Qi Yao Li Zhichang Guo Dong Li Yuming Xing Dazhi Zhang AAML 36 6 0 08 Jun 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
Investigating Deep Watermark Security: An Adversarial Transferability Perspective Biqing Qi Junqi Gao Yiang Luo Jianxing Liu Ligang Wu Bowen Zhou AAML 31 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 11 2 0 16 Feb 2024
Towards Scalable and Robust Model Versioning Wenxin Ding A. Bhagoji Ben Y. Zhao Haitao Zheng AAML 25 0 0 17 Jan 2024
Enhancing targeted transferability via feature space fine-tuning Hui Zeng Biwei Chen Anjie Peng AAML 34 3 0 05 Jan 2024
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 24 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 29 27 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David E. Evans AAML 36 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 33 36 0 07 Oct 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 41 12 0 28 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 23 3 0 15 Aug 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 29 8 0 14 Jun 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 13 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 37 16 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 44 21 0 19 Feb 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 29 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 26 16 0 18 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
Task Grouping for Multilingual Text Recognition Jing Huang Kevin J Liang Rama Kovvuri Tal Hassner 18 5 0 13 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 29 80 0 12 Oct 2022
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks Qi Peng Wen-ling Liu Ruoxi Qin Libin Hou Bin Yan Linyuan Wang AAML 11 3 0 06 Oct 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 21 31 0 08 Sep 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 24 2 0 18 Aug 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 23 4 0 29 Jun 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 11 44 0 06 Apr 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
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy Ruikui Wang Yuanfang Guo Ruijie Yang Yunhong Wang AAML 17 3 0 16 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks Zhibo Wang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 20 207 0 29 Jul 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
Delving into the pixels of adversarial samples Blerta Lindqvist AAML 21 0 0 21 Jun 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 39 93 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 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 Generating Transferable Targeted Perturbations Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 26 72 0 26 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? Nathan Inkawhich Kevin J Liang Jingyang Zhang Huanrui Yang H. Li Yiran Chen AAML 27 5 0 17 Mar 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 35 17 0 31 Dec 2020
Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring Chenchen Zhao Hao Li AAML 9 2 0 21 Dec 2020
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks Chenchen Zhao Hao Li AAML 25 0 0 21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 35 122 0 21 Dec 2020
On the Transferability of Adversarial Attacksagainst Neural Text Classifier Liping Yuan Xiaoqing Zheng Yi Zhou Cho-Jui Hsieh Kai-Wei Chang SILM AAML 11 26 0 17 Nov 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 29 94 0 08 Oct 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles Huanrui Yang Jingyang Zhang Hongliang Dong Nathan Inkawhich Andrew B. Gardner Andrew Touchet Wesley Wilkes Heath Berry H. Li AAML 18 107 0 30 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 11 86 0 29 Apr 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016