This issue was first published at Research Showcase @ CMU (http://repository.cmu.edu/jpc/vol4/iss1/). Research Showcase @ CMU is Carnegie Mellon University’s institutional repository.

DOI: https://doi.org/10.29012/jpc.v4i1

Published: 2012-07-20

Editorial

Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy

Aleksandra B. Slavkovic, Adam Smith
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Articles

An Axiomatic View of Statistical Privacy and Utility

Daniel Kifer, Bing-Rong Lin
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Minimaxity, Statistical Thinking and Differential Privacy

Larry Wasserman
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Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
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Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications

Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
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Confidentialising Survival Analysis Output in a Remote Data Access System

Christine M. O'Keefe, Ross Stewart Sparks, Damien McAullay, Bronwyn Loong
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Privacy Protection from Sampling and Perturbation in Survey Microdata

Natalie Shlomo, Chris J. Skinner
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Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets

David R. McClure, Jerome P. Reiter
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Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources

Yuval Nardi, Stephen E. Fienberg, Robert J. Hall
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Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings

Stephen E. Fienberg, Jiashun Jin
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