Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the
presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it is …

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 …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

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 …

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing
methods heavily rely on the expert-designed networks, which may lead to a sub-optimal …

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 Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against
presentation attacks. With advancements in sensor manufacture and multi-modal learning …

Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from
presentation attacks. Most existing FAS methods capture various cues (eg, texture, depth …

With various face presentation attacks arising under unseen scenarios, face anti-spoofing
(FAS) based on domain generalization (DG) has drawn growing attention due to its …

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Recently,
central difference convolution (CDC) has shown its excellent representation capacity for the …