There has been an increasing consensus in learning based face anti-spoofing that the
divergence in terms of camera models is causing a large domain gap in real application …

In this paper, we propose a novel framework leveraging the advantages of the
representational ability of deep learning and domain generalization for face spoofing …

Nowadays, the increasingly growing number of mobile and computing devices has led to a
demand for safer user authentication systems. Face anti-spoofing is a measure towards this …

Face anti-spoofing (FAS) techniques play an important role in defending face recognition
systems against spoofing attacks. Existing FAS methods often require a large number of …

With the rapid development in face recognition, most of the existing systems can perform
very well in unconstrained scenarios. However, it is still a very challenging task to detect …

Face anti-spoofing is an important task in full-stack face applications including face
detection, verification, and recognition. Previous approaches build models on datasets …

Despite significant attention given to face spoofing, there is still a need for more
generalizable face anti-spoofing methods that would perform robustly in practical face …

Face anti-spoofing (aka presentation attack detection) has recently emerged as an active
topic with great significance for both academia and industry due to the rapidly increasing …

Face anti-spoofing is crucial to prevent face recognition systems from a security breach.
Previous deep learning approaches formulate face anti-spoofing as a binary classification …

Face anti-spoofing is crucial to security of face recognition systems. Previous approaches
focus on developing discriminative models based on the features extracted from images …