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) is an essential mechanism for safeguarding the integrity of
automated face recognition systems. Despite substantial advancements, the generalization …

Due to its convenience, biometric authentication, especial face authentication, has become
increasingly mainstream and thus is now a prime target for attackers. Presentation attacks …

Face anti-spoofing is a critical component of face recognition technology. However, it suffers
from poor generalizability for cross-scenario target domains due to the simultaneous …

In recent years, domain adaptation techniques have been widely used to adapt face anti-
spoofing models to a cross-scenario target domain. Most previous methods assume that the …

The study of bias in Machine Learning is receiving a lot of attention in recent years, however,
few only papers deal explicitly with the problem of race bias in face anti-spoofing. In this …

Abstract Current researches on Face Anti-Spoofing (FAS) predominantly focus on the
detection of spoofing traces in face images. However, these methods may face limitations in …

The security of information is the major problem faced in today's digital environment.
Biometric Systems help in achieving high-end security at precise performance requirements …

Spoofing (presentation) attacks are important threats for face recognition and authentication
systems, which try to deceive them by presenting an image or video of a different subject, or …

Abstract Face Recognition Systems (FRS) are vulnerable to spoofing attacks (aka
presentation attacks), which can be carried out by presenting a printed photo (print-photo) …