All Papers

Title

Title
Disrupting Semantic and Abstract Features for Better Adversarial Transferability Yuyang Luo Xiaosen Wang Zhijin Ge Yingzhe He AAML 50 0 0 21 Jul 2025
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu Tie Luo AAML 208 0 0 26 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 175 2 0 08 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 190 0 0 08 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 135 0 0 02 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Jinjie Wei Hao Tang Yue Liu Wenqiang Zhang AAML 107 0 0 03 Jan 2025
On the Robustness of Distributed Machine Learning against Transfer Attacks Sébastien Andreina Pascal Zimmer Ghassan O. Karame AAML OOD 161 0 0 18 Dec 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 147 2 0 16 Oct 2024
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models Xinyuan Wang Victor Shea-Jay Huang Renmiao Chen Hao Wang Changzai Pan Lei Sha Minlie Huang AAML 95 2 0 13 Oct 2024
Network transferability of adversarial patches in real-time object detection Jens Bayer Stefan Becker David Münch Michael Arens AAML 107 0 0 28 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 182 1 0 31 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 120 0 0 02 Jul 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation Yaohua Liu Jiaxin Gao Xuan Liu Xianghao Jiao Xin-Yue Fan Risheng Liu 130 2 0 04 Jun 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen AAML SILM 93 9 0 28 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 180 3 0 27 May 2024
Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness Chunlin Qiu Ang Li Yiheng Duan Shenyi Zhang Yuanjie Zhang Lingchen Zhao Qian Wang AAML 150 4 0 25 May 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 107 13 0 12 Apr 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 100 8 0 30 Jan 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 145 7 0 17 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 205 11 0 28 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate Tao Wu Tie Luo D. C. Wunsch 133 7 0 20 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 126 6 0 30 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 164 4 0 02 Nov 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu Xingshuo Huang Xiaotong Zhang Qimai Li Fenglong Ma Wen Wang Hongyang Chen Hong Yu Xianchao Zhang AAML 115 2 0 29 Oct 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 Simeng Qin Philip Torr AAML 169 39 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 163 7 0 26 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 95 77 0 26 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning Hongyan Zhou Yao Liang OOD 150 0 0 24 Sep 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 103 5 0 15 Aug 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 96 2 0 21 Jul 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 202 27 0 15 Jul 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 213 33 0 22 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 121 9 0 14 Jun 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 166 7 0 02 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples Chenshuang Zhang Chaoning Zhang Taegoo Kang Donghun Kim Sung-Ho Bae In So Kweon AAML VLM 110 3 0 01 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 155 26 0 26 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 107 19 0 23 Apr 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 112 15 0 27 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 109 21 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 187 27 0 19 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 188 37 0 10 Feb 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 132 2 0 03 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 104 23 0 18 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Subrat Kishore Dutta Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 157 20 0 17 Nov 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 111 93 0 12 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 84 61 0 09 Oct 2022
$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$ Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$ -divergence Arip Asadulaev Alexander Panfilov Andrey Filchenkov AAML 56 0 0 18 Jul 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 91 5 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 135 23 0 18 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 59 0 0 09 Jun 2022

Title

Disrupting Semantic and Abstract Features for Better Adversarial Transferability

21 Jul 2025

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks

Tao Wu

Tie Luo

AAML

208

26 Mar 2025

Exploring Adversarial Transferability between Kolmogorov-arnold Networks

175

08 Mar 2025

Boosting the Local Invariance for Better Adversarial Transferability

Bohan Liu

Xiaosen Wang

AAML

190

08 Mar 2025

Improving the Transferability of Adversarial Attacks by an Input Transpose

135

02 Mar 2025

Boosting Adversarial Transferability with Spatial Adversarial Alignment

107

03 Jan 2025

On the Robustness of Distributed Machine Learning against Transfer Attacks

161

18 Dec 2024

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

Jiantao Zhou

147

16 Oct 2024

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models

Xinyuan Wang

Victor Shea-Jay Huang

Hao Wang

13 Oct 2024

Network transferability of adversarial patches in real-time object detection

Jens Bayer

Stefan Becker

David Münch

Michael Arens

AAML

107

28 Aug 2024

Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges

182

31 Jul 2024

MALT Powers Up Adversarial Attacks

Odelia Melamed

Gilad Yehudai

Adi Shamir

AAML

120

02 Jul 2024

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation

Risheng Liu

130

04 Jun 2024

Improved Generation of Adversarial Examples Against Safety-aligned LLMs

Wangmeng Zuo

28 May 2024

Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models

180

27 May 2024

Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness

150

25 May 2024

Practical Region-level Attack against Segment Anything Models

107

12 Apr 2024

Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR

Bo Peng

100

30 Jan 2024

Rethinking Impersonation and Dodging Attacks on Face Recognition Systems

145

17 Jan 2024

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks

205

28 Dec 2023

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu

Tie Luo

D. C. Wunsch

133

20 Dec 2023

Improving Adversarial Transferability via Model Alignment

A. Ma

Amir-massoud Farahmand

Yangchen Pan

Philip Torr

Jindong Gu

AAML

126

30 Nov 2023

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly

Wangmeng Zuo

164

02 Nov 2023

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors

115

29 Oct 2023

A Survey on Transferability of Adversarial Examples across Deep Neural Networks

Jindong Gu

...

169

26 Oct 2023

SoK: Pitfalls in Evaluating Black-Box Attacks

163

26 Oct 2023

Structure Invariant Transformation for better Adversarial Transferability

26 Sep 2023

Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning

Hongyan Zhou

Yao Liang

OOD

150

24 Sep 2023

Backpropagation Path Search On Adversarial Transferability

Jianping Zhang

103

15 Aug 2023

Improving Transferability of Adversarial Examples via Bayesian Attacks

Hao Chen

21 Jul 2023

Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate Training

Xiaogeng Liu

202

15 Jul 2023

Rethinking the Backward Propagation for Adversarial Transferability

213

22 Jun 2023

Reliable Evaluation of Adversarial Transferability

Jindong Gu

121

14 Jun 2023

Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature

Zhiming Luo

166

02 May 2023

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples

In So Kweon

110

01 May 2023

Improving Adversarial Transferability via Intermediate-level Perturbation Decay

Hao Chen

155

26 Apr 2023

StyLess: Boosting the Transferability of Adversarial Examples

Kaisheng Liang

Bin Xiao

AAML

107

23 Apr 2023

Improving the Transferability of Adversarial Examples via Direction Tuning

112

27 Mar 2023

Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration

Zhiming Luo

109

07 Mar 2023

Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective

187

19 Feb 2023

Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples

188

10 Feb 2023

Explainability and Robustness of Deep Visual Classification Models

Jindong Gu

AAML

132

03 Jan 2023

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks

104

18 Dec 2022

Towards Good Practices in Evaluating Transfer Adversarial Attacks

Laurent Amsaleg

Michael Backes

AAML

157

17 Nov 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

111

12 Oct 2022

Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective

Xiang Tian

09 Oct 2022

$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$

Multi-step domain adaptation by adversarial attack to

\mathcal{H} Δ\mathcal{H}

18 Jul 2022

Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System

19 Jun 2022

Demystifying the Adversarial Robustness of Random Transformation Defenses

135

18 Jun 2022

Early Transferability of Adversarial Examples in Deep Neural Networks

Oriel BenShmuel

AAML

09 Jun 2022

Title
Disrupting Semantic and Abstract Features for Better Adversarial Transferability Yuyang Luo Xiaosen Wang Zhijin Ge Yingzhe He AAML 50 0 0 21 Jul 2025
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu Tie Luo AAML 208 0 0 26 Mar 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 175 2 0 08 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 190 0 0 08 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 135 0 0 02 Mar 2025
Boosting Adversarial Transferability with Spatial Adversarial Alignment Zhaoyu Chen Haijing Guo Kaixun Jiang Jiyuan Fu Xinyu Zhou Jinjie Wei Hao Tang Yue Liu Wenqiang Zhang AAML 107 0 0 03 Jan 2025
On the Robustness of Distributed Machine Learning against Transfer Attacks Sébastien Andreina Pascal Zimmer Ghassan O. Karame AAML OOD 161 0 0 18 Dec 2024
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li Kemou Li Haiwei Wu Jinyu Tian Jiantao Zhou AAML 147 2 0 16 Oct 2024
BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models Xinyuan Wang Victor Shea-Jay Huang Renmiao Chen Hao Wang Changzai Pan Lei Sha Minlie Huang AAML 95 2 0 13 Oct 2024
Network transferability of adversarial patches in real-time object detection Jens Bayer Stefan Becker David Münch Michael Arens AAML 107 0 0 28 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 182 1 0 31 Jul 2024
MALT Powers Up Adversarial Attacks Odelia Melamed Gilad Yehudai Adi Shamir AAML 120 0 0 02 Jul 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation Yaohua Liu Jiaxin Gao Xuan Liu Xianghao Jiao Xin-Yue Fan Risheng Liu 130 2 0 04 Jun 2024
Improved Generation of Adversarial Examples Against Safety-aligned LLMs Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen AAML SILM 93 9 0 28 May 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 180 3 0 27 May 2024
Boosting Adversarial Transferability with Low-Cost Optimization via Maximin Expected Flatness Chunlin Qiu Ang Li Yiheng Duan Shenyi Zhang Yuanjie Zhang Lingchen Zhao Qian Wang AAML 150 4 0 25 May 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 107 13 0 12 Apr 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 100 8 0 30 Jan 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 145 7 0 17 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 205 11 0 28 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate Tao Wu Tie Luo D. C. Wunsch 133 7 0 20 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 126 6 0 30 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 164 4 0 02 Nov 2023
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu Xingshuo Huang Xiaotong Zhang Qimai Li Fenglong Ma Wen Wang Hongyang Chen Hong Yu Xianchao Zhang AAML 115 2 0 29 Oct 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 Simeng Qin Philip Torr AAML 169 39 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 163 7 0 26 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 95 77 0 26 Sep 2023
Improving Robustness of Deep Convolutional Neural Networks via Multiresolution Learning Hongyan Zhou Yao Liang OOD 150 0 0 24 Sep 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 103 5 0 15 Aug 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 96 2 0 21 Jul 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 202 27 0 15 Jul 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 213 33 0 22 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 121 9 0 14 Jun 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 166 7 0 02 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples Chenshuang Zhang Chaoning Zhang Taegoo Kang Donghun Kim Sung-Ho Bae In So Kweon AAML VLM 110 3 0 01 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 155 26 0 26 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 107 19 0 23 Apr 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 112 15 0 27 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 109 21 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 187 27 0 19 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 188 37 0 10 Feb 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 132 2 0 03 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 104 23 0 18 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Subrat Kishore Dutta Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 157 20 0 17 Nov 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 111 93 0 12 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 84 61 0 09 Oct 2022
$Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$-divergence$ Multi-step domain adaptation by adversarial attack to $\mathcal{H} Δ\mathcal{H}$ -divergence Arip Asadulaev Alexander Panfilov Andrey Filchenkov AAML 56 0 0 18 Jul 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 91 5 0 19 Jun 2022
Demystifying the Adversarial Robustness of Random Transformation Defenses Chawin Sitawarin Zachary Golan-Strieb David Wagner AAML 135 23 0 18 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 59 0 0 09 Jun 2022

Title

Disrupting Semantic and Abstract Features for Better Adversarial Transferability

21 Jul 2025

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks

Tao Wu

Tie Luo

AAML