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

Joo Ho Lee, In Yong Kim, Christine M. O'Keefe

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

Rebecca Kraus

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

Gerald W. Gates

Improving User Choice Through Better Mobile Apps Transparency and Permissions Analysis

Ilaria Liccardi, Joseph Pato, Daniel J. Weitzner

Statistical Disclosure Limitation: New Directions and Challenges

Natalie Shlomo

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

Satkartar K. Kinney, Alan F. Karr, Joe Fred Gonzalez Jr.

Confidentialising Survival Analysis Output in a Remote Data Access System

Christine M. O'Keefe, Ross Stewart Sparks, Damien McAullay, Bronwyn Loong

Estimating Risks of Identification Disclosure in Partially Synthetic Data

Jerome P. Reiter, Robin Mitra

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

Stephen E. Fienberg, Jiashun Jin

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

Satkartar K. Kinney, Jerome P. Reiter, James O. Berger

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

David R. McClure, Jerome P. Reiter

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

Aleksandra B. Slavkovic

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

Natalie Shlomo

Developing access to confidential data in France: results and new challenges

Roxane SILBERMAN
1 - 14 of 14 items

about2

The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal whose purpose is to facilitate the coalescence of research methodologies and activities in the areas of privacy, confidentiality, and disclosure limitation. The JPC seeks to publish a wide range of research and review papers, not only from academia, but also from government (especially official statistical agencies) and industry, and to serve as a forum for exchange of views, discussion, and news. For more information, see the About the Journal page.

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