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A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects. [PDF]
J ImagingZhao L +7 more
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Enhanced image encryption with deep generative models using a self-attention mechanism. [PDF]
Sci RepKarmouni I +5 more
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Artificial Intelligence in Asthma and COPD: Current Status and Future Potential. [PDF]
J Clin MedMarrelli F +7 more
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Cross-Shaped Adversarial Patch Attack
IEEE Transactions on Circuits and Systems for Video TechnologyYu Ran, Weijia Wang, Mingjie Li
exaly +2 more sources
Adaptive Adversarial Patch Attack on Face Recognition Models
2023 IEEE International Joint Conference on Biometrics (IJCB), 2023Shiguang Shan
exaly +2 more sources
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
exaly +4 more sources
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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