ROSALIND
Feb 1, 2024
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1 min read
ROSALIND focuses on defending digital identity systems against malicious AI-generated face images and manipulated identity documents.
The project combines two complementary goals: developing robust anti-fraud defenses for document images and selfie-videos, and using generative AI to improve the robustness and balance of authentication algorithms. It sits at the intersection of biometric security, digital identity, and applied trustworthy AI.
ROSALIND is a strong example of translational biometrics research with direct relevance to real-world identity verification.
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.