Presentation Attack Detection | Professional website of Sébastien Marcel

CARMEN

Mon, 01 Jan 2024 00:00:00 +0000

CARMEN develops biometric solutions for non-stop border control for both pedestrians and vehicles in uncontrolled environments.

The project addresses the practical difficulties of “on-the-move” biometrics, including lower-quality live data, lack of time to read ePassports, and real operational constraints outside controlled indoor checkpoints. It aims to make biometric border technologies more accurate, reliable, and deployable in realistic large-scale scenarios.

BATL

Sun, 01 Jan 2017 00:00:00 +0000

BATL contributed to biometric anti-spoofing research in the context of the IARPA ODIN program, which aimed to strengthen biometric systems against known and unknown presentation attacks.

Within this line of work, research focused on robust face presentation-attack detection, anomaly detection, multi-channel sensing, and the creation of challenging datasets and protocols for evaluating spoof resilience. At Idiap, this effort is closely associated with work on multi-channel face anti-spoofing and datasets such as HQ-WMCA, supporting reproducible research on secure biometric acquisition.

TABULA RASA

Fri, 01 Jan 2010 00:00:00 +0000

TABULA RASA was a major European research project dedicated to understanding and mitigating spoofing attacks against biometric systems.

The project investigated the vulnerability of biometric modalities such as face and fingerprint to direct attacks and developed methods to detect and counter such threats. It played an important role in shaping the modern field of presentation-attack detection and helped establish anti-spoofing as a core topic in trustworthy biometrics.

This project remains a key milestone in the evolution of biometric security research and in the translation of anti-spoofing knowledge to practical evaluation settings.