Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …

Abstract Face Anti-Spoofing (FAS) is crucial to safeguard Face Recognition (FR) Systems. In
real-world scenarios FRs are confronted with both physical and digital attacks. However …

Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …

The availability of handy multi-modal (ie, RGB-D) sensors has brought about a surge of face
anti-spoofing research. However, the current multi-modal face presentation attack detection …

Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the
model's performance on unseen domains. Existing methods either rely on domain labels to …

Recently, face manipulation techniques have caused increasing trust concerns in our
society. Although current face manipulation detection methods achieve impressive …

Face anti-spoofing (FAS) secures face recognition from presentation attacks (PAs). Existing
FAS methods usually supervise PA detectors with handcrafted binary or pixel-wise labels …

In this paper we study the problem of generalizable synthetic image detection aiming to
detect forgery images from diverse generative methods eg GANs and diffusion models …

Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the
decent performance, few existing works fully leverage temporal information. This would …

Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems
against presentation attacks. While domain generalization (DG) methods have been …