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Black-Box Face Recovery from Identity Features

2020-07-27 15:25:38
Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petyushko

Abstract

In this work, we present a novel algorithm based on an it-erative sampling of random Gaussian blobs for black-box face recovery,given only an output feature vector of deep face recognition systems. Weattack the state-of-the-art face recognition system (ArcFace) to test ouralgorithm. Another network with different architecture (FaceNet) is usedas an independent critic showing that the target person can be identi-fied with the reconstructed image even with no access to the attackedmodel. Furthermore, our algorithm requires a significantly less numberof queries compared to the state-of-the-art solution.

Abstract (translated)

URL

https://arxiv.org/abs/2007.13635

PDF

https://arxiv.org/pdf/2007.13635.pdf


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