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Generative Adversarial Perturbations

6 December 2017

Papers citing "Generative Adversarial Perturbations"

50 / 205 papers shown

Title
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained ModelIEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023 AprilPyone Maungmaung Isao Echizen Hitoshi Kiya VLM AAML 122 1 0 28 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability Xiaosen Wang Zeyuan Yin AAML 199 3 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 387 6 0 20 Nov 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and FairlyNeural Information Processing Systems (NeurIPS), 2023 Qizhang Li Yiwen Guo Wangmeng Zuo Hao Chen ELM AAML 244 8 0 02 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency PerturbationsEuropean Conference on Artificial Intelligence (ECAI), 2023 Kunyu Wang Juluan Shi Wenxuan Wang AAML 227 7 0 31 Oct 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Yang Liu Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Simeng Qin Juil Sock AAML 304 45 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 320 7 0 26 Oct 2023
SODA: Robust Training of Test-Time Data AdaptorsNeural Information Processing Systems (NeurIPS), 2023 Zige Wang Yonggang Zhang Zhen Fang Long Lan Wenjing Yang Bo Han 156 2 0 17 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated LearningNeural Information Processing Systems (NeurIPS), 2023 Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 173 107 0 08 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial AttacksACM Computing Surveys (ACM Comput. Surv.), 2023 Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 204 31 0 01 Oct 2023
Extreme Image Transformations Facilitate Robust Latent Object Representations Girik Malik Dakarai Crowder E. Mingolla AAML 154 0 0 19 Sep 2023
Hindering Adversarial Attacks with Multiple Encrypted Patch EmbeddingsAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023 AprilPyone Maungmaung Isao Echizen Hitoshi Kiya AAML 146 2 0 04 Sep 2023
Attacking logo-based phishing website detectors with adversarial perturbationsEuropean Symposium on Research in Computer Security (ESORICS), 2023 Jehyun Lee Zhe Xin Melanie Ng Pei See Kanav Sabharwal Giovanni Apruzzese D. Divakaran AAML 207 9 0 18 Aug 2023
A Review of Adversarial Attacks in Computer Vision Yutong Zhang Yao Li Yin Li Zhichang Guo AAML 177 5 0 15 Aug 2023
Enhancing Generalization of Universal Adversarial Perturbation through Gradient AggregationIEEE International Conference on Computer Vision (ICCV), 2023 Xuantong Liu Yaoyao Zhong Yuhang Zhang Lixiong Qin Weihong Deng AAML 229 33 0 11 Aug 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Erfan Shayegani Yue Dong Nael B. Abu-Ghazaleh 286 217 0 26 Jul 2023
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion ModelsEuropean Conference on Computer Vision (ECCV), 2023 Xuelong Dai Kaisheng Liang Bin Xiao DiffM 360 53 0 24 Jul 2023
A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions D. Thaker Paris V. Giampouras René Vidal AAML 147 0 0 07 Jun 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 197 2 0 22 May 2023
Building an Invisible Shield for Your Portrait against Deepfakes Jiazhi Guan Tianshu Hu Hang Zhou Zhizhi Guo Lirui Deng Chengbin Quan Errui Ding Youjian Zhao PICV 128 5 0 22 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial AttackIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 388 116 0 14 May 2023
Adversarial Attack and Defense for Medical Image Analysis: Methods and ApplicationsACM Computing Surveys (ACM Comput. Surv.), 2023 Junhao Dong Junxi Chen Xiaohua Xie Jianhuang Lai Hechang Chen AAML MedIm 295 10 0 24 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 228 6 0 19 Mar 2023
Adversarial Counterfactual Visual ExplanationsComputer Vision and Pattern Recognition (CVPR), 2023 Guillaume Jeanneret Loïc Simon F. Jurie DiffM 197 45 0 17 Mar 2023
Decision-BADGE: Decision-based Adversarial Batch Attack with Directional Gradient Estimation Geunhyeok Yu Minwoo Jeon Hyoseok Hwang AAML 171 1 0 09 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit CalibrationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li Andrii Zadaianchuk AAML 157 26 0 07 Mar 2023
Boosting Adversarial Transferability using Dynamic CuesInternational Conference on Learning Representations (ICLR), 2023 Muzammal Naseer Ahmad A Mahmood Salman Khan Fahad Shahbaz Khan AAML 124 6 0 23 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 381 32 0 19 Feb 2023
Unlearnable Clusters: Towards Label-agnostic Unlearnable ExamplesComputer Vision and Pattern Recognition (CVPR), 2022 Jiaming Zhang Jiabo He Qiaomin Yi Jitao Sang Yugang Jiang Yaowei Wang Changsheng Xu 204 30 0 31 Dec 2022
Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted AttacksComputer Vision and Pattern Recognition (CVPR), 2022 Anqi Zhao Tong Chu Yahao Liu Wen Li Jingjing Li Lixin Duan AAML 132 26 0 18 Dec 2022
Interpretation of Neural Networks is Susceptible to Universal Adversarial PerturbationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Haniyeh Ehsani Oskouie Farzan Farnia FAtt AAML 239 6 0 30 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 287 27 0 28 Nov 2022
Localized Shortcut Removal Nicolas Müller Jochen Jacobs Jennifer Williams Konstantin Böttinger 140 2 0 24 Nov 2022
Potential Auto-driving Threat: Universal Rain-removal AttackiScience (iScience), 2022 Jincheng Hu Jihao Li Zhuoran Hou Jingjing Jiang Cunjia Liu Yuanjian Zhang AAML 145 6 0 18 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Subrat Kishore Dutta Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 263 22 0 17 Nov 2022
Generative Poisoning Using Random Discriminators Dirren van Vlijmen A. Kolmus Zhuoran Liu Subrat Kishore Dutta Martha Larson 134 2 0 02 Nov 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 133 0 0 28 Oct 2022
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable NoiseAAAI Conference on Artificial Intelligence (AAAI), 2022 He Tang Lin Wan He Wang 193 26 0 27 Oct 2022
V-Cloak: Intelligibility-, Naturalness- & Timbre-Preserving Real-Time Voice Anonymization Jiangyi Deng Fei Teng Yanjiao Chen Xiaofu Chen Zhaohui Wang Wenyuan Xu 145 33 0 27 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial PerturbationNeural Information Processing Systems (NeurIPS), 2022 Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 167 100 0 12 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution PerspectiveIEEE Transactions on Image Processing (IEEE TIP), 2022 Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 152 69 0 09 Oct 2022
FG-UAP: Feature-Gathering Universal Adversarial PerturbationIEEE International Joint Conference on Neural Network (IJCNN), 2022 Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 182 15 0 27 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial AttacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022 Abhishek Aich Shasha Li Chengyu Song M. Salman Asif S. Krishnamurthy Amit K. Roy-Chowdhury AAML 239 10 0 20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene AttacksNeural Information Processing Systems (NeurIPS), 2022 Abhishek Aich Calvin-Khang Ta Akash Gupta Chengyu Song S. Krishnamurthy M. Salman Asif Amit K. Roy-Chowdhury AAML 251 24 0 20 Sep 2022
Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator Yantao Du Cheng Luo Qinliang Lin Weicheng Xie Minmin Liu Linlin Shen Keerthy Kusumam Siyang Song 198 7 0 12 Aug 2022
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksInternational Conference on Information Photonics (ICIP), 2022 Woo Jae Kim Seunghoon Hong Sung-eui Yoon AAML 170 14 0 11 Aug 2022
Adversarial Pixel Restoration as a Pretext Task for Transferable PerturbationsBritish Machine Vision Conference (BMVC), 2022 H. Malik Shahina Kunhimon Muzammal Naseer Salman Khan Fahad Shahbaz Khan AAML 152 8 0 18 Jul 2022
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture Hui Xia Rui Zhang Shuliang Jiang Zizi Kang AAML 101 0 0 22 Jun 2022
Enhancing Clean Label Backdoor Attack with Two-phase Specific Triggers Nan Luo Yuan-zhang Li Yajie Wang Shan-Hung Wu Yu-an Tan Quan-xin Zhang AAML 115 13 0 10 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial TrainingIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 114 3 0 05 Jun 2022