The use of Biometric Facial Recognition (FR) systems have become increasingly
widespread, especially since the advent of deep neural network-based architectures …

Biometric recognition technology has made significant advances over the last decade and is
now used across a number of services and applications. However, this widespread …

Facial recognition technologies are implemented in many areas, including but not limited to,
citizen surveillance, crime control, activity monitoring, and facial expression evaluation …

Privacy-enhancing technologies are technologies that implement fundamental data
protection principles. With respect to biometric recognition, different types of privacy …

Biometric technologies, especially face recognition, have become an essential part of
identity management systems worldwide. In deployments of biometrics, secure storage of …

Soft-biometrics play an important role in face biometrics and related fields since these might
lead to biased performances, threaten the user's privacy, or are valuable for commercial …

This study focuses on the protection of soft-biometric attributes related to the demographic
information of individuals that can be extracted from compact representations of face …

Deeply-learned face representations enable the success of current face recognition
systems. Despite the ability of these representations to encode the identity of an individual …

The success of modern face recognition systems is based on the advances of deeply-
learned features. These embeddings aim to encode the identity of an individual such that …

Over the last decade, the use of Automatic Speaker Verification (ASV) systems has become
increasingly widespread in response to the growing need for secure and efficient identity …