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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.

• 
  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.

• 
  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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last updated on 2024-11-18 20:47 CET by the dblp team

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