Semantic Adversarial Attacks on Face Recognition Through Significant Attributes

Semantic Adversarial Attacks on Face Recognition Through Significant Attributes

Abstract Face recognition systems are susceptible to adversarial attacks, where adversarial facial images are generated without awareness of the intrinsic attributes of the images in existing works. They change only a single attribute indiscriminately. To this end, we propose a new Semantic Adversar...

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Bibliographic Details
Main Authors: Yasmeen M. Khedr, Yifeng Xiong, Kun He
Format: Article
Language:English
Published: Springer 2023-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Adversarial examples
Image-to-image translation
Face verification
Feature fusion
Black-box attack
Attack transferability
Online Access:https://doi.org/10.1007/s44196-023-00376-6

Internet

https://doi.org/10.1007/s44196-023-00376-6

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