Vol. 2 No. 2 (2011) | Journal of Privacy and Confidentiality

This issue was first published at Research Showcase @ CMU (http://repository.cmu.edu/jpc/vol2/iss2/). Research Showcase @ CMU is Carnegie Mellon University’s institutional repository.

DOI: https://doi.org/10.29012/jpc.v2i2

Published: 2011-04-01

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

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

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How Can We Analyze Differentially-Private Synthetic Datasets?

Anne-Sophie Charest

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Polynomial-time Attack on Output Perturbation Sanitizers for Real-valued Databases

Martin M. Merener

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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.