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Author

Jie Jin

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Preprint Aug 2026

Face Re-morphing: Differential Morphing Attack Detection via Feature-Space Similarity Changes

Results indicate that re-morphing-induced similarity change provides a complementary cue for D-MAD, and this paper proposes Face Re-morphing, a D-MAD method that uses the feature-space response to an additional morphing operation as a detection cue.

Jie Jin, M. Nishigaki, Tetsushi Ohki · 0 citations
Conference Open access Aug 2026

XSA-Mad: Cross-Modal Semantic Alignment for Morphing Attack Detection

XSA-MAD, a CLIP-based multimodal framework that explicitly models semantic inconsistencies between bona-fide and morphed faces, is proposed, a CLIP-based multimodal framework that consistently outperforms existing methods under high-fidelity generative attacks.

Jie Jin, Mahiro Tokumasu, Yushi Makino et al. · 0 citations

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