Generating Adversarial Examples for Speech Recognition

Abstract

With the proliferation of natural language interfaces on mobile devices and in home personal assistants such as Siri and Alexa, many services and data are becoming available through transcription from a speech recognition system. One major risk factor in this trend is that a malicious adversary may attack this system without the primary user noticing. One… (More)

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