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How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

Statistical Déjà Vu: The National Data Center Proposal of 1965 and Its Descendants

A New Data Collection Technique for Preserving Privacy

99-129

An Evaluation Framework for Privacy-Preserving Record Linkage

Estimation of Regression Parameters from Noise Multiplied Data

Global Measures of Data Utility for Microdata Masked for Disclosure Limitation

Statistical Disclosure Limitation: New Directions and Challenges

The Science and Technology of Privacy Protection: Appendix L of "Protecting Individual Privacy in the Struggle Against Terrorists"

Multiple Imputation for Disclosure Limitation: Future Research Challenges

A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data

Model Selection when multiple imputation is used to protect confidentiality in public use data

Estimating Risks of Identification Disclosure in Partially Synthetic Data

Towards a Systematic Analysis of Privacy Definitions

The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses

Rejoinder

Differential Privacy for Statistics: What we Know and What we Want to Learn

Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records

Why It Matters to Distinguish Between Privacy and Confidentiality

An Analysis of Google Logs Retention Policies

Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources

Partial Information Releases for Confidential Contingency Table Entries: Present and Future Research Efforts

Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility

Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications

Face Recognition and Privacy in the Age of Augmented Reality