BATL
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.