MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense

Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati. MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense. In The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018. pages 376-383, AAAI Press, 2018. [doi]

@inproceedings{SenguptaCK18,
  title = {MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense},
  author = {Sailik Sengupta and Tathagata Chakraborti and Subbarao Kambhampati},
  year = {2018},
  url = {https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/16930},
  researchr = {https://researchr.org/publication/SenguptaCK18},
  cites = {0},
  citedby = {0},
  pages = {376-383},
  booktitle = {The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018},
  publisher = {AAAI Press},
  isbn = {978-1-57735-801-5},
}