An adversarial clothing pattern, optimized to separate an individual's features across camera views, can reduce rank-1 matching from 87.9% to 27.1% and enable impersonation at 47.1% rank-1 in physical-world tests.
Deep feature learning with relative distance comparison for person re-identification.Pattern Recognition, 48(10):2993–3003, 2015
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advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
An adversarial clothing pattern, optimized to separate an individual's features across camera views, can reduce rank-1 matching from 87.9% to 27.1% and enable impersonation at 47.1% rank-1 in physical-world tests.