Vol. 1 No. 2 (2010) | Journal of Privacy and Confidentiality

This issue was first published at Research Showcase @ CMU (http://repository.cmu.edu/jpc/vol1/iss2/). Research Showcase @ CMU is Carnegie Mellon University’s institutional repository.

DOI: https://doi.org/10.29012/jpc.v1i2

Published: 2010-04-01

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

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

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Differential Privacy for Statistics: What we Know and What we Want to Learn

Cynthia Dwork, Adam Smith

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Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data

Avinash C. Singh

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The Relevance or Irrelevance of Weights for Confidentiality and Statistical Analyses

Stephen E. Fienberg

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

Alan F. Karr

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Privacy-preserving Maximum Likelihood Estimation for Distributed Data

Xiaodong Lin, Alan F. Karr

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Multiple Imputation for Disclosure Limitation: Future Research Challenges

Jerome P. Reiter

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Vulnerability of Complementary Cell Suppression to Intruder Attack

Lawrence H. Cox

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

Aleksandra B. Slavkovic

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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.