Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges

Jinyuan Jia, Neil Zhenqiang Gong. Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges. In Sushil Jajodia, George Cybenko, V. S. Subrahmanian, Vipin Swarup, Cliff Wang, Michael P. Wellman, editors, Adaptive Autonomous Secure Cyber Systems. pages 23-40, Springer, 2020. [doi]

@incollection{JiaG20,
  title = {Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges},
  author = {Jinyuan Jia and Neil Zhenqiang Gong},
  year = {2020},
  doi = {10.1007/978-3-030-33432-1_2},
  url = {https://doi.org/10.1007/978-3-030-33432-1_2},
  researchr = {https://researchr.org/publication/JiaG20},
  cites = {0},
  citedby = {0},
  pages = {23-40},
  booktitle = {Adaptive Autonomous Secure Cyber Systems},
  editor = {Sushil Jajodia and George Cybenko and V. S. Subrahmanian and Vipin Swarup and Cliff Wang and Michael P. Wellman},
  publisher = {Springer},
  isbn = {978-3-030-33432-1},
}