Improving Frequency Estimation under Local Differential Privacy
Author:
Affiliation:
1. Eindhoven University of Technology, Eindhoven, Netherlands
2. Purdue University, West Lafayette, IN, USA
Funder
National Science Foundation
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3411497.3420215
Reference27 articles.
1. Local, Private, Efficient Protocols for Succinct Histograms
2. Cruising the simplex: Hamiltonian Monte Carlo and the Dirichlet distribution
3. Towards Instance-Optimal Private Query Release
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1. AAA: An Adaptive Mechanism for Locally Differentially Private Mean Estimation;Proceedings of the VLDB Endowment;2024-04
2. Local differential privacy and its applications: A comprehensive survey;Computer Standards & Interfaces;2024-04
3. LDPTrace: Locally Differentially Private Trajectory Synthesis;Proceedings of the VLDB Endowment;2023-04
4. Local Hashing and Fake Data for Privacy-Aware Frequency Estimation;2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM);2023-01-03
5. Fisher Information as a Utility Metric for Frequency Estimation under Local Differential Privacy;Proceedings of the 21st Workshop on Privacy in the Electronic Society;2022-11-07
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