Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

10 March 2022

Papers citing "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

50 / 52 papers shown

Title
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models Yudong Zhang Ruobing Xie Jiansheng Chen X. Sun Zhanhui Kang Yu Wang AAML 29 0 0 15 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 28 0 0 15 Apr 2025
Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection Yongchuan Cui J. Zhang Peng Liu W. Song Yi Zeng 27 0 0 05 Apr 2025
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation Jingdan Kang Haoxin Yang Yan Cai Huaidong Zhang Xuemiao Xu Yong Du Shengfeng He AAML 44 0 0 25 Mar 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis Wenwei Gu Renyi Zhong Jianping Zhang Michael R. Lyu AAML 33 0 0 25 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 61 0 0 12 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 34 0 0 02 Mar 2025
AdvSwap: Covert Adversarial Perturbation with High Frequency Info-swapping for Autonomous Driving Perception Yuanhao Huang Qinfan Zhang Jiandong Xing Mengyue Cheng Haiyang Yu Yilong Ren Xiao Xiong AAML 60 0 0 12 Feb 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Ziqi Zhou Bowen Li Yufei Song Zhifei Yu Shengshan Hu Wei Wan L. Zhang Dezhong Yao Hai Jin AAML 125 2 0 22 Dec 2024
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Yufei Song Ziqi Zhou Minghui Li X. U. Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu L. Zhang AAML 95 4 0 21 Dec 2024
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 85 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 77 0 0 15 Dec 2024
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods Egor Kovalev Georgii Bychkov Khaled Abud A. Gushchin Anna Chistyakova Sergey Lavrushkin D. Vatolin Anastasia Antsiferova AAML 61 2 0 18 Nov 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 23 0 0 16 Oct 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 95 1 0 27 Aug 2024
Frequency-aware Feature Fusion for Dense Image Prediction Linwei Chen Ying Fu Lin Gu Chenggang Yan Tatsuya Harada Gao Huang 3DV 45 17 0 23 Aug 2024
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics Alexander Gushchin Khaled Abud Georgii Bychkov E. Shumitskaya Anna Chistyakova Sergey Lavrushkin Bader Rasheed Kirill Malyshev D. Vatolin Anastasia Antsiferova AAML 42 2 0 02 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 32 0 0 02 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 44 4 0 30 Jul 2024
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks Yunfeng Diao Na Zhai Changtao Miao Xun Yang Meng Wang Xun Yang Meng Wang AAML 39 1 0 30 Jul 2024
Self-Supervised Representation Learning for Adversarial Attack Detection Yi Li Plamen Angelov N. Suri SSL AAML 31 3 0 05 Jul 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 57 0 0 04 Jul 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 26 2 0 22 Jun 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 19 1 0 06 May 2024
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 29 0 0 19 Apr 2024
Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues Xianhua He Dashuang Liang Song Yang Zhanlong Hao Hui Ma Binjie Mao Xi Li Yao Wang Pengfei Yan Ajian Liu CVBM AAML 27 2 0 12 Apr 2024
Adversarial purification for no-reference image-quality metrics: applicability study and new methods Aleksandr Gushchin Anna Chistyakova Vladislav Minashkin Anastasia Antsiferova D. Vatolin 29 2 0 10 Apr 2024
Unified Physical-Digital Attack Detection Challenge Haocheng Yuan Ajian Liu Junze Zheng Jun Wan Jiankang Deng Sergio Escalera Hugo Jair Escalante Isabelle M Guyon Zhen Lei AAML CVBM 35 2 0 09 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks Lei Zhang Yuhang Zhou Yi Yang Xinbo Gao AAML OOD 35 7 0 04 Apr 2024
Imperceptible Protection against Style Imitation from Diffusion Models Namhyuk Ahn Wonhyuk Ahn Kiyoon Yoo Daesik Kim Seung-Hun Nam WIGM AAML DiffM 41 5 0 28 Mar 2024
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 43 2 0 09 Mar 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 29 0 0 22 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 34 12 0 06 Feb 2024
Unified Physical-Digital Face Attack Detection Hao Fang Ajian Liu Haocheng Yuan Junze Zheng Dingheng Zeng ... Jiankang Deng Sergio Escalera Xiaoming Liu Jun Wan Zhen Lei CVBM AAML 21 12 0 31 Jan 2024
LipSim: A Provably Robust Perceptual Similarity Metric Sara Ghazanfari Alexandre Araujo P. Krishnamurthy Farshad Khorrami Siddharth Garg 26 5 0 27 Oct 2023
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces A. Aydin A. Temi̇zel 39 4 0 21 Oct 2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings Renyang Liu Jinhong Zhang Haoran Li Jin Zhang Yuanyu Wang Wei Zhou AAML 19 3 0 15 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 25 15 0 01 Oct 2023
GhostEncoder: Stealthy Backdoor Attacks with Dynamic Triggers to Pre-trained Encoders in Self-supervised Learning Qiannan Wang Changchun Yin Zhe Liu Liming Fang Run Wang Chenhao Lin AAML 16 4 0 01 Oct 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 24 8 0 11 Aug 2023
Towards Generic and Controllable Attacks Against Object Detection Guopeng Li Yue Xu Jian Ding Guisong Xia AAML 29 6 0 23 Jul 2023
Adversarial Attacks and Defenses for Semantic Communication in Vehicular Metaverses Jiawen Kang Jiayi He Hongyang Du Zehui Xiong Zhaohui Yang Xumin Huang Shengli Xie 32 25 0 06 Jun 2023
Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li Shuing Zhang Gujun Chen Dong Wang Pu Feng Jiakai Wang Aishan Liu Xin Yi Xianglong Liu AAML 9 18 0 22 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 33 4 0 21 Apr 2023
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks Chenqiu Zhao Guanfang Dong Shupei Zhang Zijie Tan Anup Basu 13 1 0 17 Apr 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni E. Hossain H. Vincent Poor AAML 24 18 0 11 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 29 0 0 10 Mar 2023
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 28 20 0 28 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning Peter Ebert Christensen Vésteinn Snaebjarnarson Andrea Dittadi Serge J. Belongie Sagie Benaim AAML 23 1 0 17 Nov 2022
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 19 12 0 16 Sep 2022