Detecting Audio Attacks on ASR Systems with Dropout Uncertainty

2 Jun 2020Tejas JayashankarJonathan Le RouxPierre Moulin

Various adversarial audio attacks have recently been developed to fool automatic speech recognition (ASR) systems. We here propose a defense against such attacks based on the uncertainty introduced by dropout in neural networks... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper