DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks. Gopinath, D., Katz, G., Pasareanu, C. S., & Barrett, C. CoRR, 2017.
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks. [link]Link  DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks. [link]Paper  bibtex   
@article{journals/corr/abs-1710-00486,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Gopinath, Divya and Katz, Guy and Pasareanu, Corina S. and Barrett, Clark},
  biburl = {https://www.bibsonomy.org/bibtex/232486a66f1a3e153b5e8698fab26f53c/dblp},
  ee = {http://arxiv.org/abs/1710.00486},
  interhash = {a05f88f307c771bb8b220b08be717168},
  intrahash = {32486a66f1a3e153b5e8698fab26f53c},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T14:14:22.000+0200},
  title = {DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1710.html#abs-1710-00486},
  volume = {abs/1710.00486},
  year = 2017
}

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