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Over-the-air White-box Attack on the Wav2Vec Speech Recognition Neural Network

2026-03-17 11:42:10
Protopopov Alexey
arXiv_SD
         
Abstract

Automatic speech recognition systems based on neural networks are vulnerable to adversarial attacks that alter transcriptions in a malicious way. Recent works in this field have focused on making attacks work in over-the-air scenarios, however such attacks are typically detectable by human hearing, limiting their potential applications. In the present work we explore different approaches of making over-the-air attacks less detectable, as well as the impact these approaches have on the attacks' effectiveness.

Abstract (translated)

URL

https://arxiv.org/abs/2603.16972

PDF

https://arxiv.org/pdf/2603.16972.pdf

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