• Main Navigation
  • Main Content
  • Sidebar
  • Register
  • Login
Journal of Privacy and Confidentiality
  • Current
  • Archives
  • Announcements
  • TPDP workshop
  • Submissions
  • About
    • About the Journal
    • Editorial Team
    • Policies
    • Code and Data Availability Policy
    • Privacy Statement
    • Our Github repositories
    • Contact

Search

Advanced filters

Search Results

A New Data Collection Technique for Preserving Privacy

Samuel S Wu, Shigang Chen, Deborah L Burr, Long Zhang

99-129

Practical Data Synthesis for Large Samples

Gillian M Raab, Beata Nowok, Chris Dibben

67-97

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

Martin Klein, Thomas Mathew, Bimal Sinha

Estimation of Regression Parameters from Noise Multiplied Data

Yan-Xia Lin, Phillip Wise

Global Measures of Data Utility for Microdata Masked for Disclosure Limitation

Mi-Ja Woo, Jerome P. Reiter, Anna Oganian, Alan F. Karr

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

William J. Perry, Charles M. Vest

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

Stephen E. Fienberg, Jiashun Jin

Is the Privacy of Network Data an Oxymoron?

Stephen E. Fienberg

Privacy Protection from Sampling and Perturbation in Survey Microdata

Natalie Shlomo, Chris J. Skinner

Bayesian Estimation of Disclosure Risks for Multiply Imputed, Synthetic Data

Jerome P. Reiter, Quanli Wang, Biyuan Zhang

Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data

Avinash C. Singh

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

Natalie Shlomo

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

Aleksandra B. Slavkovic
1 - 13 of 13 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.

Make a Submission
Most read last month
  • Editorial: Articles, perspectives, and TPDP
    246
  • Calibrating Noise to Sensitivity in Private Data Analysis
    55
  • Differential Privacy in Practice: Expose your Epsilons!
    50
  • Privacy Violations Using Microtargeted Ads: A Case Study
    46
  • Practical Data Synthesis for Large Samples
    42

supp

Supplementary materials

Github logo  

reviewerg

Information

  • For Readers
  • For Authors
  • For Reviewers

hiring

The JPC editorial team is looking to expand!

We are looking for graduate students wanting to gain valuable experience and insights into the journal publishing process. For additional information, see our job description page.

indexes

Indexed in

 Scopus

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

clockss

Preserved on CLOCKSS logo CLOCKSS and PKP|PN

Online ISSN: 2575-8527.

Published by the Labor Dynamics Institute. Supported by theĀ Edmund Ezra Day Chair and theĀ Labor Dynamics Institute at Cornell University

If you have a disability and are having trouble accessing information on this website or need materials in an alternate format, contact web-accessibility@cornell.edu for assistance.

More information about the publishing system, Platform and Workflow by OJS/PKP.