Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks

Zhihao Zheng, Pengyu Hong. Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 7924-7933, 2018. [doi]

@inproceedings{ZhengH18-2,
  title = {Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks},
  author = {Zhihao Zheng and Pengyu Hong},
  year = {2018},
  url = {http://papers.nips.cc/paper/8016-robust-detection-of-adversarial-attacks-by-modeling-the-intrinsic-properties-of-deep-neural-networks},
  researchr = {https://researchr.org/publication/ZhengH18-2},
  cites = {0},
  citedby = {0},
  pages = {7924-7933},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}