SAFER
Mar 1, 2022
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1 min read
SAFER addresses fairness and ethics in face recognition.
The project investigates how to assess and reduce unfair performance differences across demographic groups, with work spanning both training-time and scoring-time strategies. It also explores the role of synthetic and diverse datasets in improving the responsible development of face recognition systems.
SAFER reflects a broader commitment to trustworthy biometrics by combining technical performance with fairness, transparency, and responsible deployment.
Authors
Senior Research Scientist
Prof Sébastien Marcel (IEEE Fellow and IAPR Fellow) is a senior research scientist at
the Idiap Research Institute (Switzerland), he heads the Biometrics Security
and Privacy group and conducts research on face recognition, speaker
recognition, vein recognition, attack detection (presentation attacks,
morphing attacks, deepfakes) and template protection. He is also Professor at
the University de Lausanne (UNIL) at the School of Criminal Justice. He is
also the Director of the Swiss Center for Biometrics at Idiap, which conducts
certifications of biometric products. He was Associate Editor and Guest
Editor of IEEE journals (TBIOM, SPL, TIFS and SPM). He is also the lead
Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2
and 3). Since June 2025 he is a member of the Idiap Direction ad interim.