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 …

EEG is the recording of electrical activities of the brain, usually along the scalp surface,
which are the results of synaptic activations of the brain's neurons. In recent years, it has …

The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

Existing domain generalization methods for face anti-spoofing endeavor to extract common
differentiation features to improve the generalization. However, due to large distribution …

Face recognition is a mainstream biometric authentication method. However, the
vulnerability to presentation attacks (aka spoofing) limits its usability in unsupervised …

Digital Twin is the mirror image of any living or non-living objects. Digital Twin and Cyber-
physical system (CPS) provides a new era for industries especially in the healthcare sector …

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 …

Automatic face recognition is now widely used in applications ranging from deduplication of
identity to authentication of mobile payment. This popularity of face recognition has raised …

Face recognition has evolved as a prominent biometric authentication modality. However,
vulnerability to presentation attacks curtails its reliable deployment. Automatic detection of …

Biometrics systems have significantly improved person identification and authentication,
playing an important role in personal, national, and global security. However, these systems …