On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms

Héber Hwang Arcolezi, Selene Cerna, Catuscia Palamidessi. On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms. In Vijayalakshmi Atluri, Anna Lisa Ferrara, editors, Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19-21, 2023, Proceedings. Volume 13942 of Lecture Notes in Computer Science, pages 165-183, Springer, 2023. [doi]

@inproceedings{ArcoleziCP23,
  title = {On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms},
  author = {Héber Hwang Arcolezi and Selene Cerna and Catuscia Palamidessi},
  year = {2023},
  doi = {10.1007/978-3-031-37586-6_11},
  url = {https://doi.org/10.1007/978-3-031-37586-6_11},
  researchr = {https://researchr.org/publication/ArcoleziCP23},
  cites = {0},
  citedby = {0},
  pages = {165-183},
  booktitle = {Data and Applications Security and Privacy XXXVII - 37th Annual IFIP WG 11.3 Conference, DBSec 2023, Sophia-Antipolis, France, July 19-21, 2023, Proceedings},
  editor = {Vijayalakshmi Atluri and Anna Lisa Ferrara},
  volume = {13942},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-37586-6},
}