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By Author
Search Results
An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Per-instance Differential Privacy
Yu-Xiang Wang
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Random Differential Privacy
Robert Hall, Larry Wasserman, Alessandro Rinaldo
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
The Fienberg Problem: How to Allow Human Interactive Data Analysis in the Age of Differential Privacy
Cynthia Dwork, Jonathan Ullman
Privacy Protection from Sampling and Perturbation in Survey Microdata
Natalie Shlomo, Chris J. Skinner
Statistical Approximating Distributions Under Differential Privacy
Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa
Statistical Disclosure Limitation: New Directions and Challenges
Natalie Shlomo
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
Remembering Stephen Fienberg
Aleksandra Slavković, Lars Vilhuber
How Can We Analyze Differentially-Private Synthetic Datasets?
Anne-Sophie Charest
How Will Statistical Agencies Operate When All Data Are Private?
John M Abowd
Privacy-Preserving Data Sharing in High Dimensional Regression and Classification Settings
Stephen E. Fienberg, Jiashun Jin
A New Data Collection Technique for Preserving Privacy
Samuel S Wu, Shigang Chen, Deborah L Burr, Long Zhang
99-129
Privacy-Preserving Data Sharing for Genome-Wide Association Studies
Caroline Uhler, Aleksandra B. Slavkovic, Stephen E. Fienberg
Differentially Private Ordinary Least Squares
Or Sheffet
An Analysis of Google Logs Retention Policies
Vincent Toubiana, Helen Nissenbaum
Differentially Private Inference for Binomial Data
Jordan Alexander Awan, Aleksandra Slavkovic
Toward a Reconceptualization of Confidentiality Protection in the Context of Linkages with Administrative Records
Stephen E. Fienberg
Is the Privacy of Network Data an Oxymoron?
Stephen E. Fienberg
Differentially private posterior summaries for linear regression coefficients
Gilad Amitai, Jerome Reiter
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