Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms

DOI10.1080/01621459.2020.1773831zbMath1464.60012arXiv1801.09236OpenAlexW3032011063MaRDI QIDQ4999171

Jordan Awan, Aleksandra B. Slavković

Publication date: 6 July 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1801.09236

zbMATH Keywords

entropyinformation theoryregressionstochastic dominancestatistical disclosure controlstatistical depth

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Inequalities; stochastic orderings (60E15) Generalized linear models (logistic models) (62J12) Measures of information, entropy (94A17) Privacy of data (68P27)

Related Items (2)

Reproducibility and transparency versus privacy and confidentiality: reflections from a data editor ⋮ Canonical noise distributions and private hypothesis tests

Uses Software

• PRMLT
• LocLok

Cites Work

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