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By Author
Search Results
Differential Privacy in Practice: Expose your Epsilons!
Cynthia Dwork, Nitin Kohli, Deirdre Mulligan
An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Heterogeneous Differential Privacy
Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec
Model Selection when multiple imputation is used to protect confidentiality in public use data
Satkartar K. Kinney, Jerome P. Reiter, James O. Berger
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Per-instance Differential Privacy
Yu-Xiang Wang
Towards a Systematic Analysis of Privacy Definitions
Bing-Rong Lin, Dan Kifer
Calibrating Noise to Sensitivity in Private Data Analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
17-51
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Statistical Disclosure Limitation: New Directions and Challenges
Natalie Shlomo
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
Make Up Your Mind: The Price of Online Queries in Differential Privacy
Mark Bun, Thomas Steinke, Jonathan Ullman
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Differential Privacy on Finite Computers
Victor Balcer, Salil Vadhan
Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft
Local Differential Privacy for Evolving Data
Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
Privacy via the Johnson-Lindenstrauss Transform
Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra
Differential Privacy for Protecting Multi-dimensional Contingency Table Data: Extensions and Applications
Xiaolin Yang, Stephen E. Fienberg, Alessandro Rinaldo
Privacy Protection from Sampling and Perturbation in Survey Microdata
Natalie Shlomo, Chris J. Skinner
Random Differential Privacy
Robert Hall, Larry Wasserman, Alessandro Rinaldo
An Evaluation Framework for Privacy-Preserving Record Linkage
Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios
A New Data Collection Technique for Preserving Privacy
Samuel S Wu, Shigang Chen, Deborah L Burr, Long Zhang
99-129
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
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