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Robust face anti-spoofing framework with Convolutional Vision Transformer
Owing to the advances in image processing technology and large-scale datasets, companies have implemented facial authentication processes, thereby stimulating increased focus on face anti-spoofing (FAS) against realistic presentation attacks.
ProtoFL: Unsupervised Federated Learning via Prototypical Distillation
Federated learning (FL) is a promising approach for enhancing data privacy preservation, particularly for authentication systems.
Liveness score-based regression neural networks for face anti-spoofing
In this paper, we propose a liveness score-based regression network for overcoming the dependency on third party networks and users.
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