Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

17 March 2022

Papers citing "Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input"

43 / 43 papers shown

Title
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 28 0 0 19 Apr 2025
Exploring Adversarial Transferability between Kolmogorov-arnold Networks Songping Wang Xinquan Yue Yueming Lyu Caifeng Shan AAML 74 1 0 08 Mar 2025
On the Robustness of Distributed Machine Learning against Transfer Attacks Sébastien Andreina Pascal Zimmer Ghassan O. Karame AAML OOD 78 0 0 18 Dec 2024
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 166 0 0 23 Nov 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 63 6 0 26 Oct 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 122 0 0 13 Oct 2024
Current Status and Trends in Image Anti-Forensics Research: A Bibliometric Analysis Yihong Lu Jianyi Liu Ru Zhang 23 0 0 21 Aug 2024
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness Kejia Zhang Juanjuan Weng Yuanzheng Cai Zhiming Luo Shaozi Li AAML 64 0 0 04 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 34 6 0 08 Jun 2024
Enhancing Adversarial Transferability via Information Bottleneck Constraints Biqing Qi Junqi Gao Jianxing Liu Ligang Wu Bowen Zhou AAML 37 2 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
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 39 1 0 06 May 2024
AutoAugment Input Transformation for Highly Transferable Targeted Attacks Haobo Lu Xin Liu Kun He AAML 24 0 0 21 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 31 23 0 08 Dec 2023
OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization Dongchen Han Xiaojun Jia Yang Bai Jindong Gu Yang Liu Xiaochun Cao VLM 30 22 0 07 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 28 5 0 30 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models Heeseon Kim Minji Son Minbeom Kim Myung-Joon Kwon Changick Kim AAML 37 7 0 17 Nov 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 26 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 33 6 0 26 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 15 0 01 Oct 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 38 19 0 21 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 24 39 0 05 Aug 2023
Towards Generic and Controllable Attacks Against Object Detection Guopeng Li Yue Xu Jian Ding Guisong Xia AAML 37 6 0 23 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 23 11 0 21 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 11 40 0 08 Jun 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
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
Adversarial Infrared Blocks: A Multi-view Black-box Attack to Thermal Infrared Detectors in Physical World Chen-Hao Hu Weiwen Shi Tingsong Jiang Wen Yao Ling Tian Xiaoqian Chen AAML 37 4 0 21 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
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 13 18 0 28 Feb 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
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
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 44 7 0 28 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 56 38 0 28 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 21 30 0 08 Sep 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 36 10 0 21 May 2022
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack Minhao Cheng Simranjit Singh Patrick H. Chen Pin-Yu Chen Sijia Liu Cho-Jui Hsieh AAML 126 219 0 24 Sep 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016