• 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

On the Privacy and Utility Properties of Triple Matrix-Masking

Aidong Adam Ding, Guanhong Miao, Samuel Shangwu Wu

Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know

Alan F. Karr

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

Yuval Nardi, Stephen E. Fienberg, Robert J. Hall

An Evaluation Framework for Privacy-Preserving Record Linkage

Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios

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

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

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

Stephen E. Fienberg, Jiashun Jin

AnoA: A Framework for Analyzing Anonymous Communication Protocols

Michael Backes, Aniket Kate, Praveen Manoharan, Sebastian Meiser, Esfandiar Mohammadi

Privacy-preserving Maximum Likelihood Estimation for Distributed Data

Xiaodong Lin, Alan F. Karr
1 - 9 of 9 items

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

Make a Submission
Most read last month
  • Calibrating Noise to Sensitivity in Private Data Analysis
    81
  • Privacy Violations Using Microtargeted Ads: A Case Study
    73
  • Silent Listeners: The Evolution of Privacy and Disclosure on Facebook
    47
  • How Will Statistical Agencies Operate When All Data Are Private?
    45
  • Differential Privacy in Practice: Expose your Epsilons!
    40

Supplementary materials

Github logo  

Information

  • For Readers
  • For Authors
  • For Reviewers

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.

Indexed in

 Scopus

Current Issue

  • Atom logo
  • RSS2 logo
  • RSS1 logo

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.