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Darker than Black-Box: Face Reconstruction from Similarity Queries

2021-06-27 17:25:46
Anton Razzhigaev, Klim Kireev, Igor Udovichenko, Aleksandr Petiushko

Abstract

Several methods for inversion of face recognition models were recently presented, attempting to reconstruct a face from deep templates. Although some of these approaches work in a black-box setup using only face embeddings, usually, on the end-user side, only similarity scores are provided. Therefore, these algorithms are inapplicable in such scenarios. We propose a novel approach that allows reconstructing the face querying only similarity scores of the black-box model. While our algorithm operates in a more general setup, experiments show that it is query efficient and outperforms the existing methods.

Abstract (translated)

URL

https://arxiv.org/abs/2106.14290

PDF

https://arxiv.org/pdf/2106.14290.pdf


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