Frequency Domain Model Augmentation for Adversarial Attack

12 July 2022

Yuyang Long

Qi-li Zhang

Boheng Zeng

Lianli Gao

Xianglong Liu

Jian Zhang

Jingkuan Song

AAML

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Papers citing "Frequency Domain Model Augmentation for Adversarial Attack"

43 / 93 papers shown

Title
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 100 0 0 22 Feb 2024
Test-Time Backdoor Attacks on Multimodal Large Language Models Dong Lu Tianyu Pang Chao Du Qian Liu Xianjun Yang Min Lin AAML 165 26 0 13 Feb 2024
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast Xiangming Gu Xiaosen Zheng Tianyu Pang Chao Du Qian Liu Ye Wang Jing Jiang Min Lin LLMAG LM&Ro 52 63 0 13 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 103 13 0 06 Feb 2024
Benchmarking Transferable Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Huaming Chen AAML 87 5 0 01 Feb 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 70 4 0 24 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 83 4 0 17 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model Zhiyu Zhu Huaming Chen Xinyi Wang Jiayu Zhang Zhibo Jin Kim-Kwang Raymond Choo Jun Shen Dong Yuan 52 8 0 11 Jan 2024
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 88 26 0 07 Dec 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 69 2 0 28 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 144 3 0 20 Nov 2023
Boost Adversarial Transferability by Uniform Scale and Mix Mask Method Tao Wang Zijian Ying Qianmu Li Zhichao Lian AAML 122 6 0 18 Nov 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 105 19 0 15 Nov 2023
Flatness-aware Adversarial Attack Mingyuan Fan Xiaodan Li Cen Chen Yinggui Wang AAML 71 2 0 10 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 69 6 0 31 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 104 6 0 26 Oct 2023
Practical Deep Dispersed Watermarking with Synchronization and Fusion Hengchang Guo Qilong Zhang Junwei Luo Feng Guo Wenbin Zhang Xiaodong Su Minglei Li WIGM 75 12 0 23 Oct 2023
Exploring Decision-based Black-box Attacks on Face Forgery Detection Zhaoyu Chen Yue Liu Kaixun Jiang Shuang Wu Shouhong Ding Wenqiang Zhang AAML CVBM 134 1 0 18 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution Zhibo Jin Zhiyu Zhu Xinyi Wang Jiayu Zhang Jun Shen Huaming Chen AAML 66 10 0 16 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 83 68 0 26 Sep 2023
How Robust is Google's Bard to Adversarial Image Attacks? Yinpeng Dong Huanran Chen Jiawei Chen Zhengwei Fang Xiaohu Yang Yichi Zhang Yu Tian Hang Su Jun Zhu AAML 120 116 0 21 Sep 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 98 19 0 21 Aug 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 67 10 0 21 Jul 2023
On the Robustness of Split Learning against Adversarial Attacks Mingyuan Fan Cen Chen Chengyu Wang Wenmeng Zhou Jun Huang AAML 67 8 0 16 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 88 10 0 28 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 131 29 0 22 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 96 50 0 08 Jun 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 116 73 0 14 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization Yulong Yang Chenhao Lin Qian Li Zhengyu Zhao Haoran Fan Dawei Zhou Nannan Wang Tongliang Liu Chao Shen AAML MQ 130 14 0 10 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 119 7 0 02 May 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 129 22 0 20 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods Feng Guo Zhengyi Sun Yuxuan Chen Lei Ju AAML 63 2 0 18 Apr 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 126 71 0 16 Mar 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 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 112 23 0 19 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 69 3 0 30 Jan 2023
Artificial Intelligence Security Competition (AISC) Yinpeng Dong Peng Chen Senyou Deng L. Lianji Yi Sun ... Zhichao Cui G. Liu Huafeng Shi K. Hu Meng Zhang 81 0 0 07 Dec 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 126 31 0 21 Nov 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
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 138 7 0 28 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 105 47 0 05 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 104 5 0 29 Sep 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 166 21 0 09 Mar 2022