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Description:The Journal of Privacy and Confidentiality is an open-access multi-disciplinary journal covering the areas of privacy, confidentiality, and...

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TPDP Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/
jpc-style | LaTeX style for JPC
https://github.journalprivacyconfidentiality.org/
TPDP 2023 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2023/
TPDP 2016 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2016/
TPDP 2017 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2017/
TPDP 2020 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2020/
TPDP 2021 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2021/
TPDP 2022 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2022/
TPDP 2019 – Theory and Practice of Differential Privacy
https://tpdp.journalprivacyconfidentiality.org/2019/
Journal of Privacy and Confidentiality
https://journalprivacyconfidentiality.org/
Archives | Journal of Privacy and Confidentiality
https://journalprivacyconfidentiality.org/index.php/jpc/issue/archive
About the Journal | Journal of Privacy and Confidentiality
https://journalprivacyconfidentiality.org/index.php/jpc/about
Vol. 11 No. 1 (2021) | Journal of Privacy and Confidentiality
https://journalprivacyconfidentiality.org/index.php/jpc/issue/view/108
Search | Journal of Privacy and Confidentiality
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Submissions | Journal of Privacy and Confidentiality
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Confidentiality Main Navigation Main Content Sidebar Register Login Toggle navigation Current Archives Announcements TPDP workshop Submissions About About the Journal Editorial Team Policies Code and Data Availability Policy Privacy Statement Our Github repositories Contact Search The 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. Announcements Submit your manuscript to the Confidentiality! 2018-05-01 We accept submissions from any field as long as it relates to privacy and confidentiality; for more details, see our vision of the journal . Submit your manuscript on the JPC Submissions Page . Current Issue Vol. 14 No. 1 (2024): Regular issue, including articles based on presentations at TPDP 2022 Regular issue, includes additional articles based on presentations at TPDP 2022 - Theory and Practice of Differential Privacy . Executive Editors : Lars Vilhuber and Rachel Cummings Guest Editors (TPDP 2022 content): Audra McMillan and Gautam Kamath Published: 2024-02-11 Articles The Bounded Gaussian Mechanism for Differential Privacy Bo Chen, Matthew Hale PDF 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 PDF Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism Arjun Wilkins, Daniel Kifer, Danfeng Zhang, Brian Karrer PDF TPDP 2022 Numerical Composition of Differential Privacy Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz PDF Private Convex Optimization via Exponential Mechanism Sivakanth Gopi, Yin Tat Lee, Daogao Liu PDF View All Issues about2 The 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. Make a Submission Most read last month Editorial: Articles, perspectives, and TPDP 227 Differential Privacy in Practice: Expose your Epsilons! 66 Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results 55 Synthetic Data Generation with Differential Privacy via Bayesian Networks 54 Privacy Violations Using Microtargeted Ads: A Case Study 52 supp Supplementary materials reviewerg Information For Readers For Authors For Reviewers hiring The JPC editorial team is looking to expand! We are looking for graduate students wanting to gain valuable experience and insights into the journal publishing process. For additional information, see our job description page . indexes Indexed in Current Issue clockss Preserved on CLOCKSS and PKP|PN Online ISSN: 2575-8527. Published by the Labor Dynamics Institute . Supported by the Labor Dynamics Institute at and the Harvard John A. Paulson School of Engineering and Applied Sciences . If you have a disability and are having trouble accessing information on this website or need materials in an alternate format, contact web-accessibility@cornell.edu...

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