Vol. 12 No. 2 (2022): Regular issue, including articles based on presentations at TPDP 2021 | Journal of Privacy and Confidentiality

Regular issue, includes additional articles based on presentations at TPDP 2021 - Theory and Practice of Differential Privacy.

Managing Editor: Lars Vilhuber

Guest Editor (TPDP 2021 content): Gautam Kamath and Rachel Cummings

DOI: https://doi.org/10.29012/jpc.v12i2

Published: 2022-11-02

Exact Inference with Approximate Computation for Differentially Private Data via Perturbations

Ruobin Gong

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The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model

Kobbi Nissim, Chao Yan

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

Martin Aumüller, Christian Janos Lebeda, Rasmus Pagh

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Consistent Spectral Clustering of Network Block Models under Local Differential Privacy

Jonathan Hehir, Aleksandra Slavkovic, Xiaoyue Niu

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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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