Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach

Yunfei Ge, Tao Li, Quanyan Zhu. Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach. In IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshop, Hoboken, NJ, USA, May 20, 2023. pages 1-6, IEEE, 2023. [doi]

@inproceedings{GeLZ23,
  title = {Scenario-Agnostic Zero-Trust Defense with Explainable Threshold Policy: A Meta-Learning Approach},
  author = {Yunfei Ge and Tao Li and Quanyan Zhu},
  year = {2023},
  doi = {10.1109/INFOCOMWKSHPS57453.2023.10225816},
  url = {https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225816},
  researchr = {https://researchr.org/publication/GeLZ23},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshop, Hoboken, NJ, USA, May 20, 2023},
  publisher = {IEEE},
  isbn = {978-1-6654-9427-4},
}