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By Author
Search Results
An Axiomatic View of Statistical Privacy and Utility
Daniel Kifer, Bing-Rong Lin
Differential Privacy in Practice: Expose your Epsilons!
Cynthia Dwork, Nitin Kohli, Deirdre Mulligan
Differentially Private Confidence Intervals for Empirical Risk Minimization
Yue Wang, Daniel Kifer, Jaewoo Lee
Gradual Release of Sensitive Data under Differential Privacy
Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
Towards a Systematic Analysis of Privacy Definitions
Bing-Rong Lin, Dan Kifer
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
Per-instance Differential Privacy
Yu-Xiang Wang
Calibrating Noise to Sensitivity in Private Data Analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith
17-51
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM
Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel
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
A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples
Raj Chetty, John N Friedman
Differential Privacy for Statistics: What we Know and What we Want to Learn
Cynthia Dwork, Adam Smith
Make Up Your Mind: The Price of Online Queries in Differential Privacy
Mark Bun, Thomas Steinke, Jonathan Ullman
On the 'Semantics' of Differential Privacy: A Bayesian Formulation
Shiva P. Kasiviswanathan, Adam Smith
Between Pure and Approximate Differential Privacy
Thomas Steinke, Jonathan Ullman
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
Featherweight PINQ
Hamid Ebadi, David Sands
On the Difficulties of Disclosure Prevention in Statistical Databases or The Case for Differential Privacy
Cynthia Dwork, Moni Naor
Statistical Approximating Distributions Under Differential Privacy
Yue Wang, Daniel Kifer, Jaewoo Lee, Vishesh Karwa
A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms
Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
Statistical Disclosure Limitation: New Directions and Challenges
Natalie Shlomo
Minimaxity, Statistical Thinking and Differential Privacy
Larry Wasserman
Dual Query: Practical Private Query Release for High Dimensional Data
Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu
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