AI RESEARCH
SFDemorpher: Generalizable Face Demorphing for Operational Morphing Attack Detection
arXiv CS.CV
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ArXi:2603.28322v1 Announce Type: new Face morphing attacks compromise biometric security by creating document images that verify against multiple identities, posing significant risks from document issuance to border control. Differential Morphing Attack Detection (D-MAD) offers an effective countermeasure, particularly when employing face rphing to disentangle identities blended in the morph. However, existing methods lack operational generalizability due to limited