The vulnerability of face recognition systems to presentation attacks (also known as direct
attacks or spoof attacks) has received a great deal of interest from the biometric community …

The widespread deployment of facial recognition-based biometric systems has made facial
presentation attack detection (face anti-spoofing) an increasingly critical issue. This survey …

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 …

With the wide deployment of the face recognition systems in applications from deduplication
to mobile device unlocking, security against the face spoofing attacks requires increased …

As science attempts to close the gap between man and machine by building systems
capable of learning, we must embrace the importance of the unknown. The ability to …

Despite important recent advances, the vulnerability of biometric systems to spoofing attacks
is still an open problem. Spoof attacks occur when impostor users present synthetic …

In recent years, software-based face presentation attack detection (PAD) methods have
seen a great progress. However, most existing schemes are not able to generalize well in …

In movies, film stars portray another identity or obfuscate their identity with the help of
silicone/latex masks. Such realistic masks are now easily available and are used for …

Face anti-spoofing detection is a crucial procedure in biometric face recognition systems.
State-of-the-art approaches, based on Convolutional Neural Networks (CNNs), present …

One-class anomaly detection approaches are particularly appealing for use in face
presentation attack detection (PAD), especially in an unseen attack scenario, where the …