An information theoretic approach to post randomization methods under differential privacy

DOI10.1007/s11222-020-09949-3zbMath1452.62151arXiv2009.11257OpenAlexW3026208842MaRDI QIDQ2209709

Marco Battiston, Federico Camerlenghi, Fadhel Ayed

Publication date: 4 November 2020

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2009.11257

zbMATH Keywords

mutual informationdifferential privacycategorical variablesdisclosure riskpost randomization methods

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Linear programming (90C05) Statistical aspects of information-theoretic topics (62B10)

Uses Software

• RAPPOR

Cites Work

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• On Choosing and Bounding Probability Metrics
• Estimating Identification Disclosure Risk Using Mixed Membership Models
• Privacy-preserving statistical estimation with optimal convergence rates
• Theory of Cryptography

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