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A New Data Collection Technique for Preserving Privacy

99-129

Practical Data Synthesis for Large Samples

67-97

Noise Multiplication for Statistical Disclosure Control of Extreme Values in Log-normal Regression Samples

Estimation of Regression Parameters from Noise Multiplied Data

Global Measures of Data Utility for Microdata Masked for Disclosure Limitation

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

Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings

Is the Privacy of Network Data an Oxymoron?

Privacy Protection from Sampling and Perturbation in Survey Microdata

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data

Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data

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

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