Results 151 to 160 of about 619 (184)
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Adaptive Adversarial Patch Attack on Face Recognition Models
2023 IEEE International Joint Conference on Biometrics (IJCB), 2023Shiguang Shan
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Simultaneously Optimizing Perturbations and Positions for Black-Box Adversarial Patch Attacks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Adversarial patch is an important form of real-world adversarial attack that brings serious risks to the robustness of deep neural networks. Previous methods generate adversarial patches by either optimizing their perturbation values while fixing the pasting position or manipulating the position while fixing the patch's content.
Xingxing Wei, Ying Guo
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Detecting Adversarial Patch Attacks through Global-local Consistency
Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, 2021Recent works have well-demonstrated the threat of adversarial patch attacks to real-world vision media systems. By arbitrarily modifying pixels within a small restricted area in the image, adversarial patches can mislead neural-network-based image classifiers.
Bo Li 0115 +5 more
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Visually imperceptible adversarial patch attacks
Computers & Security, 2022Yaguan Qian +6 more
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SegGuard: Defending Scene Segmentation Against Adversarial Patch Attack
2024 IEEE International Conference on Image Processing (ICIP)Steve Schneider
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Map: Multispectral Adversarial Patch to Attack Person Detection
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Taeheon Kim +2 more
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Detecting Physical Adversarial Patch Attacks with Object Detectors
2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2022Melanie Jutras +4 more
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Analysis and Countermeasure Design on Adversarial Patch Attacks
2021Yinan Fu +3 more
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Transferable Black-Box Attack Against Face Recognition With Spatial Mutable Adversarial Patch
IEEE Transactions on Information Forensics and Security, 2023Haotian Ma, Ke Xu, Xinghao Jiang
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Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias
IEEE Transactions on Image Processing, 2022Jiakai Wang, Aishan Liu, Xiao Bai
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