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

Abstract Face Anti-Spoofing (FAS) is recently studied under the continual learning setting,
where the FAS models are expected to evolve after encountering data from new domains …

Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …

Face presentation attack detection (PAD) has been extensively studied by research
communities to enhance the security of face recognition systems. Although existing methods …

Face anti-spoofing (FAS) and face forgery detection play vital roles in securing face
biometric systems from presentation attacks (PAs) and vicious digital manipulation (eg …

Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from
presentation attacks. Benefitted from the maturing camera sensors, single-modal (RGB) and …

2D face presentation attacks are one of the most notorious and pervasive face spoofing
types, which have caused pressing security issues to facial authentication systems. While …

With the rapid progress over the past five years, face authentication has become the most
pervasive biometric recognition method. Thanks to the high-accuracy recognition …