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Towards Protecting Face Embeddings in Mobile Face Verification Scenarios. (arXiv:2110.00434v3 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/2110.00434
Jan. 28, 2022, 2:10 a.m. | Vedrana Krivokuća Hahn, Sébastien Marcel
cs.CV updates on arXiv.org arxiv.org
This paper proposes PolyProtect, a method for protecting the sensitive face
embeddings that are used to represent people's faces in neural-network-based
face verification systems. PolyProtect transforms a face embedding to a more
secure template, using a mapping based on multivariate polynomials
parameterised by user-specific coefficients and exponents. In this work,
PolyProtect is evaluated on two open-source face recognition systems in a
cooperative-user mobile face verification context, under the toughest threat
model that assumes a fully-informed attacker with complete knowledge of …
More from arxiv.org / cs.CV updates on arXiv.org
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