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Journal of Privacy and Confidentiality, Volume 11
Volume 11, Number 1, 2021
Editorial
- Lars Vilhuber
:
Expansion, perspectives, and challenges.
TPDP 2019
- Albert Cheu, Adam D. Smith, Jonathan R. Ullman:
Manipulation Attacks in Local Differential Privacy. - Adam Sealfon
, Jonathan R. Ullman:
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy.
Privacy Challenges
- Claire McKay Bowen, Joshua Snoke:
Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge.
Perspectives
- Felix Ritchie:
Microdata access and privacy: What have we learned over twenty years? - Ron S. Jarmin:
Reflections on the Successes and Challenges of Research Data Centers in Canada and the U.S.
Volume 11, Number 2, September 2021
- Yuval Dagan, Vitaly Feldman:
Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints. - Lars Vilhuber
:
Editorial: Articles, perspectives, and TPDP. - Michael Harvey:
Research Data Centres - a Regulator's Perspective. - Cynthia Dwork, Weijie J. Su
, Li Zhang:
Differentially private false discovery rate control. - Roxane Silberman:
Developing access to confidential data in France: results and new challenges. - Tianhao Wang, Ninghui Li, Zhikun Zhang:
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges.
Volume 11, Number 3, December 2021
- Ergute Bao
, Xiaokui Xiao, Jun Zhao
, Dongping Zhang
, Bolin Ding:
Synthetic Data Generation with Differential Privacy via Bayesian Networks. - Ryan Rogers
, Subbu Subramaniam, Sean Peng, David Durfee
, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad:
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale. - Ryan McKenna, Gerome Miklau
, Daniel Sheldon
:
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data. - Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen
, Milad Shokouhi, Sergey Yekhanin:
Differentially Private Set Union.
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