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A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

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

Practical Data Synthesis for Large Samples

67-97

A New Data Collection Technique for Preserving Privacy

99-129

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation

Releasing Earnings Distributions using Differential Privacy

Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO)

The Effect of Data Swapping on Analyses of American Community Survey Data

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data

On Regression-Tree-Based Synthetic Data Methods for Business Data

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

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

Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models

Trust but Pre-Verify?

Estimating Risks of Identification Disclosure in Partially Synthetic Data

Confidentialising Survival Analysis Output in a Remote Data Access System

Estimation of Regression Parameters from Noise Multiplied Data

Editorial for Volume 9 Issue 2

Multiple Imputation for Disclosure Limitation: Future Research Challenges

Privacy and the Statistician: What Do We Need to Know to Certify Nondisclosure?

Linear Program Reconstruction in Practice

Vulnerability of Complementary Cell Suppression to Intruder Attack

Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets

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

Data Confidentiality: The Next Five Years Summary and Guide to Papers

Commentary: Future U.S. National Statistics Use of Administrative Data