Data confidentiality: a review of methods for statistical disclosure limitation and methods for assessing privacy

DOI10.1214/11-SS074zbMath1274.62055OpenAlexW2005463964MaRDI QIDQ1950328

Ofer Harel, Gregory J. Matthews

Publication date: 13 May 2013

Published in: Statistics Surveys (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ssu/1296828958

zbMATH Keywords

privacyconfidentialitymissing datamultiple imputationdifferential privacysynthetic datadisclosure limitation

Mathematics Subject Classification ID

Foundations and philosophical topics in statistics (62A01) Research exposition (monographs, survey articles) pertaining to statistics (62-02)

Related Items (5)

A weighting approach to making inference with probabilistically linked data ⋮ A Survey of Differentially Private Regression for Clinical and Epidemiological Research ⋮ Spatial change of support models for differentially private decennial census counts of persons by detailed race and ethnicity ⋮ An information theoretic approach to post randomization methods under differential privacy ⋮ A family of methods for statistical disclosure control

Uses Software

• PrivateLR
• SuLQ
• ARGUS
• EMD

Cites Work

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• Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study
• Assessing Identification Risk in Survey Microdata Using Log-Linear Models
• Optimal noise addition for preserving confidentiality in multivariate data
• Data-swapping: A technique for disclosure control
• Elements of statistical disclosure control
• The earth mover's distance as a metric for image retrieval
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Practical data-swapping: the first steps
• Examining the robustness of fully synthetic data techniques for data with binary variables
• A data distortion by probability distribution
• A Constructive Procedure for Unbiased Controlled Rounding
• Suppression Methodology and Statistical Disclosure Control
• A Measure of Disclosure Risk for Microdata
• k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
• ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION
• Differential privacy and robust statistics
• A Statistical Framework for Differential Privacy
• Advances in Cryptology – CRYPTO 2004
• Uncertainty, Information, and Sequential Experiments
• On the Question of Statistical Confidentiality
• Estimating Risks of Identification Disclosure in Microdata
• Theory of Cryptography
• Differential Privacy

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