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Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

The Effect of Data Swapping on Analyses of American Community Survey Data

Nicolas Kim

DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges

Tianhao Wang, Ninghui Li, Zhikun Zhang

Winning the NIST Contest: A scalable and general approach to differentially private synthetic data

Ryan McKenna, Gerome Miklau, Daniel Sheldon

Perspective: Better Privacy Theorists for Better Data Stewards

Jeremy Seeman

Private Boosted Decision Trees via Smooth Re-Weighting

Mohammadmahdi Jahanara, Vahid Asadi, Marco Carmosino, Akbar Rafiey, Bahar Salamatian

In Honour of Steve and Joyce Fienberg

Natalie Shlomo

Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access

Martin Aumüller, Christian Janos Lebeda, Rasmus Pagh

Overlook: Differentially Private Exploratory Visualization for Big Data

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

Introduction to Special Section

Dan Kifer

Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results

Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis

Differentially Private Set Union

Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin

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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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Published by the Society for Privacy and Confidentiality Research.

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