Targeted Adversarial Examples for Black Box Audio Systems

@article{Taori2018TargetedAE,
  title={Targeted Adversarial Examples for Black Box Audio Systems},
  author={Rohan Taori and Amog Kamsetty and Brenton Chu and Nikita Vemuri},
  journal={CoRR},
  year={2018},
  volume={abs/1805.07820}
}
The application of deep recurrent networks to audio transcription has led to impressive gains in automatic speech recognition (ASR) systems. Many have demonstrated that small adversarial perturbations can fool deep neural networks into incorrectly predicting a specified target with high confidence. Current work on fooling ASR systems have focused on white-box attacks, in which the model architecture and parameters are known. In this paper, we adopt a black-box approach to adversarial generation… CONTINUE READING
Tweets
This paper has been referenced on Twitter 69 times. VIEW TWEETS

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 13 REFERENCES

Genetic algorithms

  • J. H. Holland
  • Scientific american
  • 1992
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…