Attacks on state-of-the-art face recognition using attentional adversarial attack generative network

With the broad use of face recognition, its weakness gradually emerges that it is able to be attacked. Therefore, it is very important to study how face recognition networks are subject to attacks. Generating adversarial examples is an effective attack method, which misleads the face recognition sys...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 80; no. 1; pp. 855 - 875
Main Authors Yang, Lu, Song, Qing, Wu, Yingqi
Format Journal Article
LanguageEnglish
Published New York Springer US 01.01.2021
Springer Nature B.V
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