Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to
improve the generalization on unseen scenarios. Previous methods typically rely on domain …

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

Generalizable face anti-spoofing (FAS) approaches have drawn growing attention due to
their robustness for diverse presentation attacks in unseen scenarios. Most previous …

With the growing popularity of facial recognition (FR) in access control systems, there has
been a corresponding increase in presentation attacks (PAs) to gain unauthorized access …

Real-world face recognition systems are vulnerable to diverse face attacks, ranging from
digitally manipulated artifacts to physically crafted spoofing attacks. Existing works primarily …

Face features, as the most widely adopted and essential biometric characteristic in identity
verification and recognition, play a crucial role in ensuring security. However, the …

Description: La progresión de la tecnología ha generado en la humanidad la necesidad de
contar con herramientas que brinden seguridad en los sistemas que contengan su …

Face Anti-Spoofing (FAS) is critical for safeguarding face recognition systems from spoofing
attacks. However, current methods based on Convolutional Neural Networks (CNNs) and …