The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …

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 …

Face recognition has become essential in our daily lives as a convenient and contactless
method of accurate identity verification. Process such as identity verification at automatic …

The main question this work aims at answering is:" can morphing attack detection (MAD)
solutions be successfully developed based on synthetic data?". Towards that, this work …

Face morphing attacks aim at creating face images that are verifiable to be the face of
multiple identities, which can lead to building faulty identity links in operations like border …

A face morphing attack image can be verified to multiple identities, making this attack a
major vulnerability to processes based on identity verification, such as border checks …

Face recognition is an essential technology in our daily lives as a contactless and
convenient method of accurate identity verification. Processes such as secure login to …

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 …

Face morphing attacks create face images that are verifiable to multiple identities.
Associating such images to identity documents lead to building faulty identity links, causing …

Face quality assessment aims at estimating the utility of a face image for the purpose of
recognition. It is a key factor to achieve high face recognition performances. Currently, the …