The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …

Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …

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 …

This work proposes a novel privacy-preserving neural network feature representation to
suppress the sensitive information of a learned space while maintaining the utility of the …

Media reports have accused face recognition of being “biased”,“sexist” and “racist”. There is
consensus in the research literature that face recognition accuracy is lower for females, who …

It is broadly accepted that there is a" gender gap" in| face recognition accuracy, with females
having higher false| match and false non-match rates. However, relatively little is known …

Face biometrics play a primary role in smart cities, from consumer-to organizational-level
applications. This class of technologies has been recently shown to emphasize performance …

Recent news articles have accused face recognition of being" biased"," sexist" or" racist".
There is consensus in the research literature that face recognition accuracy is lower for …

This study investigates the possibility of mitigating the demographic biases that affect face
recognition technologies through the use of synthetic data. Demographic biases have the …

In this paper, we propose a novel explanatory framework aimed to provide a better
understanding of how face recognition models perform as the underlying data …