Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks

Learning deep forest for face anti-spoofing: An alternative to the neural network against adversarial attacks

Face anti-spoofing (FAS) is significant for the security of face recognition systems. neural networks (NNs), including convolutional neural network (CNN) and vision transformer (ViT), have been dominating the field of the FAS. However, NN-based methods are vulnerable to adversarial attacks. Attacker...

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Bibliographic Details
Main Authors: Rizhao Cai, Liepiao Zhang, Changsheng Chen, Yongjian Hu, Alex Kot
Format: Article
Language:English
Published: AIMS Press 2024-10-01
Series:Electronic Research Archive
Subjects:
deep forest
adversarial attacks
face anti-spoofing
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2024259
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