Deep learning models currently achieve human levels of performance on real-world face
recognition tasks. We review scientific progress in understanding human face processing …

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 …

Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …

The diversity of human faces and the contexts in which they appear gives rise to an
expansive stimulus space over which people infer psychological traits (eg, trustworthiness or …

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

Face recognition networks encode information about sensitive attributes while being trained
for identity classification. Such encoding has two major issues:(a) it makes the face …

Although face recognition has made impressive progress in recent years, we ignore the
racial bias of the recognition system when we pursue a high level of accuracy. Previous …

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 …

Current face recognition systems achieve high progress on several benchmark tests.
Despite this progress, recent works showed that these systems are strongly biased against …