Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

6 November 2019

Papers citing "Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance"

35 / 35 papers shown

Title
RoVo: Robust Voice Protection Against Unauthorized Speech Synthesis with Embedding-Level Perturbations Seungmin Kim Sohee Park Donghyun Kim Jisu Lee Daeseon Choi AAML 7 0 0 19 May 2025
DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing Aniruddha Bala Rohit Chowdhury Rohan Jaiswal Siddharth Roheda DiffM AAML 79 0 0 24 Apr 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 69 0 0 12 Mar 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 94 0 0 16 Dec 2024
PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks Jin Li Zitong Yu Ziqiang He Zhong Wang Xiangui Kang AAML 84 0 0 15 Dec 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 71 2 0 27 Feb 2024
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method Chenxi Yang Yujia Liu Dingquan Li Tingting Jiang 40 6 0 10 Jan 2024
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 43 4 0 21 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 16 0 01 Oct 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
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 24 42 0 05 Oct 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 38 3 0 19 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 44 31 0 16 Sep 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 29 155 0 12 Jul 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 32 11 0 04 Jun 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 43 8 0 02 Apr 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 37 57 0 10 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 36 101 0 10 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 13 18 0 03 Mar 2022
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 30 18 0 10 Nov 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 28 69 0 17 Sep 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 24 89 0 20 Aug 2021
Imperceptible Adversarial Examples by Spatial Chroma-Shift A. Aydin Deniz Sen Berat Tuna Karli Oguz Hanoglu A. Temi̇zel AAML 26 16 0 05 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Exposing Previously Undetectable Faults in Deep Neural Networks Isaac Dunn Hadrien Pouget Daniel Kroening T. Melham AAML 26 28 0 01 Jun 2021
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink Ranjie Duan Xiaofeng Mao •. A. K. Qin Yun Yang YueFeng Chen Shaokai Ye Yuan He AAML 24 138 0 11 Mar 2021
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 27 1 0 14 Dec 2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang Haibin Ling AAML 25 19 0 10 Dec 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 30 17 0 28 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 29 6 0 14 Oct 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 25 12 0 21 Jul 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start Zhuoran Liu Martha Larson DiffM 20 27 0 02 Jun 2020
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 43 224 0 19 Feb 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016