Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

5 April 2019

Yinpeng Dong

Tianyu Pang

Hang Su

Jun Zhu

SILM

AAML

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Papers citing "Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks"

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Title
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 26 3 0 15 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 30 25 0 11 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 29 8 0 11 Aug 2023
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation Zhu Liu Jinyuan Liu Ben-xi Zhang Long Ma Xin-Yue Fan Risheng Liu AAML 44 39 0 08 Aug 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen Jia-Li Yin Shukai Chen Bo-Hao Chen Ximeng Liu AAML 30 40 0 05 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 26 0 0 01 Aug 2023
Transferable Attack for Semantic Segmentation Mengqi He Jing Zhang Zhaoyuan Yang Mingyi He Nick Barnes Yuchao Dai 36 2 0 31 Jul 2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 16 2 0 21 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 36 2 0 21 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 17 10 0 19 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 22 21 0 15 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 17 28 0 14 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 27 1 0 13 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 30 9 0 09 Jul 2023
Common Knowledge Learning for Generating Transferable Adversarial Examples Rui Yang Yuanfang Guo Junfu Wang Jiantao Zhou Yun-an Wang AAML 13 0 0 01 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 24 7 0 27 Jun 2023
3D-Aware Adversarial Makeup Generation for Facial Privacy Protection Yueming Lyu Yue Jiang Ziwen He Bo Peng Yunfan Liu Jing Dong PICV AAML 27 9 0 26 Jun 2023
Enhancing Adversarial Training via Reweighting Optimization Trajectory Tianjin Huang Shiwei Liu Tianlong Chen Meng Fang Lijuan Shen Vlaod Menkovski Lu Yin Yulong Pei Mykola Pechenizkiy AAML 30 4 0 25 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 27 25 0 22 Jun 2023
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search Fahad Shamshad Muzammal Naseer Karthik Nandakumar AAML PICV 36 27 0 16 Jun 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 29 8 0 14 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 14 40 0 08 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 21 4 0 02 Jun 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models Yunqing Zhao Tianyu Pang Chao Du Xiao Yang Chongxuan Li Ngai-man Cheung Min-Bin Lin VLM AAML MLLM 33 166 0 26 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score Shuhai Zhang Feng Liu Jiahao Yang Yifan Yang Changsheng Li Bo Han Mingkui Tan DiffM AAML 39 17 0 25 May 2023
Robust Classification via a Single Diffusion Model Huanran Chen Yinpeng Dong Zhengyi Wang X. Yang Chen-Dong Duan Hang Su Jun Zhu 82 56 0 24 May 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup Junyoung Byun Myung-Joon Kwon Seungju Cho Yoonji Kim Changick Kim AAML 33 17 0 24 May 2023
Content-based Unrestricted Adversarial Attack Zhaoyu Chen Bo-wen Li Shuang Wu Kaixun Jiang Shouhong Ding Wenqiang Zhang DiffM 29 62 0 18 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen H. Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 32 57 0 14 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 39 7 0 02 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 22 19 0 26 Apr 2023
StyLess: Boosting the Transferability of Adversarial Examples Kaisheng Liang Bin Xiao AAML 13 18 0 23 Apr 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang Yongqin Xian H. Ling Jinyuan Zhang Xiaorui Lin Ping Li Jiazhong Chen Ning Yu AAML 17 8 0 22 Apr 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 46 18 0 20 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 25 2 0 18 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Dingcheng Yang Wenjian Yu Zihao Xiao Jiaqi Luo AAML DiffM 21 5 0 14 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 22 2 0 10 Apr 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 29 1 0 05 Apr 2023
Latent Feature Relation Consistency for Adversarial Robustness Xingbin Liu Huafeng Kuang Hong Liu Xianming Lin Yongjian Wu Rongrong Ji AAML 19 3 0 29 Mar 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 18 50 0 28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang Jen-tse Huang Wenxuan Wang Yichen Li Weibin Wu Xiaosen Wang Yuxin Su Michael R. Lyu AAML 48 50 0 28 Mar 2023
Improving the Transferability of Adversarial Examples via Direction Tuning Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 35 12 0 27 Mar 2023
Feature Separation and Recalibration for Adversarial Robustness Woo Jae Kim Y. Cho Junsik Jung Sung-eui Yoon AAML 41 18 0 24 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Zexin Li Bangjie Yin Taiping Yao Junfeng Guo Shouhong Ding Simin Chen Cong Liu AAML 23 34 0 22 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 34 0 0 17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 56 0 16 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 19 2 0 10 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 24 1 0 09 Mar 2023