Survey of optical-based physical domain adversarial attacks and defense

Deep learning models are misled into making false predictions by adversarial attacks that implant tiny perturbations into the original input, which are imperceptible to the human eye. This poses a huge security threat to computer vision systems that are based on deep learning. Compared to digital-do...

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Bibliographic Details

Published in:	网络与信息安全学报
Main Author:	Jinyin CHEN, Xiaoming ZHAO, Haibin ZHENG, Haifeng GUO
Format:	Article
Language:	English
Published:	POSTS&TELECOM PRESS Co., LTD 2024-04-01
Subjects:	adversarial attack deep learning security threat optical physical domain adversarial attack
Online Access:	https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2024026