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JPEG AI emerges as the top performer for face recognition in ultra-compressed images, revealing that significant compression can be achieved without sacrificing accuracy.
T-shirt presentation attacks can fool face recognition systems, but a simple spatial consistency check between detected faces and persons offers a surprisingly effective defense.
Vision foundation models can be efficiently adapted to dramatically improve morphing attack detection, slashing error rates by nearly 3x at critical security thresholds.
