On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems. (arXiv:2202.05725v2 [cs.CR] UPDATED)

Speaker verification systems have been widely used in smart phones and
Internet of things devices to identify legitimate users. In recent work, it has
been shown that adversarial attacks, such as FAKEBOB, can work effectively
against speaker verification systems. The goal of this paper is to design a
detector that can distinguish an original audio from an audio contaminated by
adversarial attacks. Specifically, our designed detector, called MEH-FEST,
calculates the minimum energy in high frequencies from the short-time Fourier
transform …

adversarial attacks detection systems verification