For a robust face biometric system, a reliable antispoofing approach must be deployed to
circumvent the print and replay attacks. Several techniques have been proposed to counter …

Biometric systems can be attacked in several ways and the most common being spoofing
the input sensor. Therefore, anti-spoofing is one of the most essential prerequisite against …

Keystroke dynamics-based authentication (KDA) is one of the human behavioral biometric-
based user authentication methods based on the unique ty** pattern of a person …

Smartphones have become the standard personal device to store private or sensitive
information. Widely used as every day gadget, however, they are susceptible to get lost or …

Since the rapid development of face recognition systems using 3D cameras, the public has
demanded great safety regulations for these devices. As a closely related topic, multimodal …

Face authentication systems are becoming increasingly prevalent, especially with the rapid
development of Deep Learning technologies. However, human facial information is easy to …

Smartphones today store large amounts of data that can be confidential, private or sensitive.
To protect such data, all mobile OSs have a phone lock mechanism, a mechanism that …

Face biometrics have attracted significant attention as a technology for secure access to
mobile devices. This is because almost all smartphones have RGB cameras suitable for …

Deep neural networks (DNN) have shown great success in many computer vision
applications. However, they are also known to be susceptible to backdoor attacks. When …

Leveraging built-in cameras on smartphones and tablets, face authentication provides an
attractive alternative of legacy passwords due to its memory-less authentication process …