ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio

30 May 2018Nilaksh DasMadhuri ShanbhogueShang-Tse ChenLi ChenMichael E. KounavisDuen Horng Chau

Adversarial machine learning research has recently demonstrated the feasibility to confuse automatic speech recognition (ASR) models by introducing acoustically imperceptible perturbations to audio samples. To help researchers and practitioners gain better understanding of the impact of such attacks, and to provide them with tools to help them more easily evaluate and craft strong defenses for their models, we present ADAGIO, the first tool designed to allow interactive experimentation with adversarial attacks and defenses on an ASR model in real time, both visually and aurally... (read more)

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