arXiv cs.CV
· Papers
DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
arXiv:2604.17961v2 Announce Type: replace Abstract: In this work, we introduce DifFoundMAD, a parameter-efficient D-MAD framework that exploits the generalisation capabilities of vision foundation models (FM) to capture discrepancies between suspected morphs and live capture images. In contrast to conventional D-MAD sy