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Differentially Private Confidence Intervals for Empirical Risk Minimization

Yue Wang, Daniel Kifer, Jaewoo Lee

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

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

Local Differential Privacy for Evolving Data

Matthew Joseph, Aaron Roth, Jonathan Ullman, Bo Waggoner

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

Mark Bun, Thomas Steinke, Jonathan Ullman

The Bounded Laplace Mechanism in Differential Privacy

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

Concentration Bounds for High Sensitivity Functions Through Differential Privacy

Uri Stemmer, Kobbi Nissim

Differentially Private Ordinary Least Squares

Or Sheffet

Editorial for Volume 9 Issue 2

Jonathan Ullman, Lars Vilhuber

Special Issue on the Theory and Practice of Differential Privacy

Marco Gaboardi, Chris J. Skinner

Differentially Private Inference for Binomial Data

Jordan Alexander Awan, Aleksandra Slavkovic

Editorial for Special Issue on the Theory and Practice of Differential Privacy 2018

Aleksandar Nikolov, Lars Vilhuber

Linear Program Reconstruction in Practice

Aloni Cohen, Kobbi Nissim

Special Issue on the Theory and Practice of Differential Privacy 2016

Marco Gaboardi

Program for TPDP 2018

Aleksandar Nikolov; Lars Vilhuber

The Future of the Journal of Privacy and Confidentiality

Cynthia Dwork

Program for TPDP 2016

Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B Slavković

Program for TPDP 2017

Jonathan Ullman; Lars Vilhuber
1 - 20 of 20 items

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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