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Editorial

• 
  Marco Gaboardi:
  Special Issue on the Theory and Practice of Differential Privacy 2016.

Articles

• 
  Mark Bun, Thomas Steinke, Jonathan R. Ullman:
  Make Up Your Mind: The Price of Online Queries in Differential Privacy.
• 
  Uri Stemmer, Kobbi Nissim:
  Concentration Bounds for High Sensitivity Functions Through Differential Privacy.
• 
  Yue Wang, Daniel Kifer, Jaewoo Lee:
  Differentially Private Confidence Intervals for Empirical Risk Minimization.
• 
  Or Sheffet:
  Differentially Private Ordinary Least Squares.
• 
  Yu-Xiang Wang:
  Per-instance Differential Privacy.

Sundry

• 
  Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B. Slavkovic:
  Program for TPDP 2016.

Editorial

• 
  Jonathan R. Ullman, Lars Vilhuber:
  Editorial for Volume 9 Issue 2.

Articles

• 
  Andrew David Foote, Ashwin Machanavajjhala, Kevin McKinney:
  Releasing Earnings Distributions using Differential Privacy - Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO).
• 
  Cynthia Dwork, Nitin Kohli, Deirdre K. Mulligan:
  Differential Privacy in Practice: Expose your Epsilons!
• 
  Raj Chetty, John N Friedman:
  A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples.

TPDP 2017

• 
  Victor Balcer, Salil P. Vadhan:
  Differential Privacy on Finite Computers.
• 
  Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits:
  BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model.
• 
  Zhiwei Steven Wu, Aaron Roth, Katrina Ligett, Bo Waggoner, Seth Neel:
  Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM.

Sundry

• 
  Jonathan R. Ullman, Lars Vilhuber:
  Program for TPDP 2017.

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