%0 Generic %1 carlini2018audio %A Carlini, Nicholas %A Wagner, David %D 2018 %K adversarial %T Audio Adversarial Examples: Targeted Attacks on Speech-to-Text %U http://arxiv.org/abs/1801.01944 %X We construct targeted audio adversarial examples on automatic speech recognition. Given any audio waveform, we can produce another that is over 99.9% similar, but transcribes as any phrase we choose (recognizing up to 50 characters per second of audio). We apply our white-box iterative optimization-based attack to Mozilla's implementation DeepSpeech end-to-end, and show it has a 100% success rate. The feasibility of this attack introduce a new domain to study adversarial examples.

@misc{carlini2018audio, abstract = {We construct targeted audio adversarial examples on automatic speech recognition. Given any audio waveform, we can produce another that is over 99.9% similar, but transcribes as any phrase we choose (recognizing up to 50 characters per second of audio). We apply our white-box iterative optimization-based attack to Mozilla's implementation DeepSpeech end-to-end, and show it has a 100% success rate. The feasibility of this attack introduce a new domain to study adversarial examples.}, added-at = {2019-07-09T15:50:43.000+0200}, author = {Carlini, Nicholas and Wagner, David}, biburl = {https://www.bibsonomy.org/bibtex/24e54966c5e9ab676e59cd388decdf4c6/topel}, interhash = {644a13e2ca48714469b4bf9487daecfe}, intrahash = {4e54966c5e9ab676e59cd388decdf4c6}, keywords = {adversarial}, note = {cite arxiv:1801.01944}, timestamp = {2019-07-09T15:50:43.000+0200}, title = {Audio Adversarial Examples: Targeted Attacks on Speech-to-Text}, url = {http://arxiv.org/abs/1801.01944}, year = 2018 }