Vol. 6 No. 2 (2014) | Journal of Privacy and Confidentiality

This issue was first published at Research Showcase @ CMU (http://repository.cmu.edu/jpc/vol6/iss2/). Research Showcase @ CMU is Carnegie Mellon University’s institutional repository.

DOI: https://doi.org/10.29012/jpc.v6i2

Published: 2014-12-30

Face Recognition and Privacy in the Age of Augmented Reality

Alessandro Acquisti, Ralph Gross, Fred Stutzman

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Top-Coding and Public Use Microdata Samples from the U.S. Census Bureau

Nicole Crimi, William Eddy

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Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage

Frank Niedermeyer, Simone Steinmetzer, Martin Kroll, Rainer Schnell

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A Graph-based Approach to Key Variable Mapping

Duncan Smith, Mark Elliot

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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.

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Articles

Face Recognition and Privacy in the Age of Augmented Reality

Top-Coding and Public Use Microdata Samples from the U.S. Census Bureau

Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage

A Graph-based Approach to Key Variable Mapping