Double adversarial attack against license plate recognition system

Recent studies have revealed that deep neural networks (DNN) used in artificial intelligence systems are highly vulnerable to adversarial sample-based attacks.To address this issue, a dual adversarial attack method was proposed for license plate recognition (LPR) systems in a DNN-based scenario.It w...

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Bibliographic Details
Main Author: Xianyi CHEN, Jun GU1, Kai YAN, Dong JIANG, Linfeng XU, Zhangjie FU
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2023-06-01
Series:网络与信息安全学报
Subjects:
Online Access:https://www.infocomm-journal.com/cjnis/CN/10.11959/j.issn.2096-109x.2023034