A dual-branch foundation-model embedding-difference approach with low-rank adaptation lowers average BSCER100 from 6.16% to 2.17% in cross-database known-attack D-MAD.
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DifFoundMAD: Foundation Models meet Differential Morphing Attack Detection
A dual-branch foundation-model embedding-difference approach with low-rank adaptation lowers average BSCER100 from 6.16% to 2.17% in cross-database known-attack D-MAD.