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ORCIDJournal of Privacy and Confidentiality, Volume 4
Volume 4, Number 1, 2012
Editorial
- Aleksandra B. Slavkovic
, Adam D. Smith:
Special Issue on Statistical and Learning-Theoretic Challenges in Data Privacy.
Articles
- Daniel Kifer, Bing-Rong Lin:
An Axiomatic View of Statistical Privacy and Utility. - Larry A. Wasserman:
Minimaxity, Statistical Thinking and Differential Privacy. - Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft:
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning. - Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo:
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications. - Christine M. O'Keefe, Ross Stewart Sparks, Damien McAullay, Bronwyn Loong:
Confidentialising Survival Analysis Output in a Remote Data Access System. - Natalie Shlomo, Chris J. Skinner:
Privacy Protection from Sampling and Perturbation in Survey Microdata. - David McClure, Jerome P. Reiter:
Towards Providing Automated Feedback on the Quality of Inferences from Synthetic Datasets. - Yuval Nardi, Stephen E. Fienberg, Robert J. Hall:
Achieving Both Valid and Secure Logistic Regression Analysis on Aggregated Data from Different Private Sources. - Stephen E. Fienberg, Jiashun Jin:
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings.
Volume 4, Number 2, 2013
Editorial
- Stephen E. Fienberg:
Is the Privacy of Network Data an Oxymoron?
Articles
- Fred Stutzman, Ralph Gross, Alessandro Acquisti:
Silent Listeners: The Evolution of Privacy and Disclosure on Facebook. - Robert J. Hall, Larry A. Wasserman, Alessandro Rinaldo:
Random Differential Privacy. - Yan-Xia Lin, Phillip Wise:
Estimation of Regression Parameters from Noise Multiplied Data. - Consumer Data Privacy in a Networked World: A Framework for Protecting Privacy and Promoting Innovation in the Global Digital Economy.
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