Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing

arXiv:2404.14406v1 Announce Type: new
Abstract: Face recognition technology has become an integral part of modern security systems and user authentication processes. However, these systems are vulnerable to spoofing attacks and can easily be circumvented. Most prior research in face anti-spoofing (FAS) approaches it as a two-class classification task where models are trained on real samples and known spoof attacks and tested for detection performance on unknown spoof attacks. However, in practice, FAS should be treated as a one-class classification task …

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