Web: http://arxiv.org/abs/2209.11020

Sept. 23, 2022, 1:24 a.m. | Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood

cs.CR updates on arXiv.org arxiv.org

Authentication systems are vulnerable to model inversion attacks where an
adversary is able to approximate the inverse of a target machine learning
model. Biometric models are a prime candidate for this type of attack. This is
because inverting a biometric model allows the attacker to produce a realistic
biometric input to spoof biometric authentication systems.

One of the main constraints in conducting a successful model inversion attack
is the amount of training data required. In this work, we focus on …

attacks biometric privacy

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