Vol. 12 No. 1 (2022): Regular issue, including an article based on a presentation at TPDP 2020 | Journal of Privacy and Confidentiality

Regular issue, including an article based on a presentation at TPDP 2020 - Theory and Practice of Differential Privacy.

Managing Editor: Lars Vilhuber

Guest Editor (TPDP 2020 content): Rachel Cummings

DOI: https://doi.org/10.29012/jpc.v12i1

Published: 2022-07-29

A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts

Michelle Nixon, Andres Barrientos, Jerome Reiter, Aleksandra Slavkovic

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A Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index

Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert

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A Taxonomy of Attacks on Privacy-Preserving Record Linkage

Anushka Vidanage, Thilina Ranbaduge, Peter Christen, Rainer Schnell

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The Discrete Gaussian for Differential Privacy

Clement Canonne, Gautam Kamath, Thomas Steinke

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Overlook: Differentially Private Exploratory Visualization for Big Data

Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia

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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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