Adversarial Correctness and Privacy for Probabilistic Data Structures

Mia Filic, Kenneth G. Paterson, Anupama Unnikrishnan, Fernando Virdia. Adversarial Correctness and Privacy for Probabilistic Data Structures. In Heng Yin, Angelos Stavrou, Cas Cremers, Elaine Shi, editors, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, 2022. pages 1037-1050, ACM, 2022. [doi]

@inproceedings{FilicPUV22-0,
  title = {Adversarial Correctness and Privacy for Probabilistic Data Structures},
  author = {Mia Filic and Kenneth G. Paterson and Anupama Unnikrishnan and Fernando Virdia},
  year = {2022},
  doi = {10.1145/3548606.3560621},
  url = {https://doi.org/10.1145/3548606.3560621},
  researchr = {https://researchr.org/publication/FilicPUV22-0},
  cites = {0},
  citedby = {0},
  pages = {1037-1050},
  booktitle = {Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, 2022},
  editor = {Heng Yin and Angelos Stavrou and Cas Cremers and Elaine Shi},
  publisher = {ACM},
  isbn = {978-1-4503-9450-5},
}