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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

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

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model

Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits

Towards a Systematic Analysis of Privacy Definitions

Bing-Rong Lin, Dan Kifer

Per-instance Differential Privacy

Yu-Xiang Wang

Calibrating Noise to Sensitivity in Private Data Analysis

Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith

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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

Local Differential Privacy for Evolving Data

Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner

Privacy via the Johnson-Lindenstrauss Transform

Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra

How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics

Gerald W. Gates

Make Up Your Mind: The Price of Online Queries in Differential Privacy

Mark Bun, Thomas Steinke, Jonathan Ullman

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

Random Differential Privacy

Robert Hall, Larry Wasserman, Alessandro Rinaldo

Between Pure and Approximate Differential Privacy

Thomas Steinke, Jonathan Ullman

An Evaluation Framework for Privacy-Preserving Record Linkage

Dinusha Vatsalan, Peter Christen, Christine M. O'Keefe, Vassilios S. Verykios

On the 'Semantics' of Differential Privacy: A Bayesian Formulation

Shiva P. Kasiviswanathan, Adam Smith

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

The Bounded Laplace Mechanism in Differential Privacy

Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa
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about2

The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal whose purpose is to facilitate the coalescence of research methodologies and activities in the areas of privacy, confidentiality, and disclosure limitation. The JPC seeks to publish a wide range of research and review papers, not only from academia, but also from government (especially official statistical agencies) and industry, and to serve as a forum for exchange of views, discussion, and news. For more information, see the About the Journal page.

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