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Editorial

• 
  Stephen E. Fienberg:
  In This Issue.

Articles

• 
  Jared S. Murray:
  Probabilistic Record Linkage and Deduplication after Indexing, Blocking, and Filtering.
• 
  Nicolas Kim:
  The Effect of Data Swapping on Analyses of American Community Survey Data.
• 
  Martin Klein, Bimal Sinha:
  Likelihood Based Finite Sample Inference for Singly Imputed Synthetic Data Under the Multivariate Normal and Multiple Linear Regression Models.
• 
  Chong Huang, Lalitha Sankar, Anand D. Sarwate:
  Designing Incentive Schemes for Privacy-Sensitive Users.

Editorial

• 
  Marco Gaboardi, Chris J. Skinner:
  Special Issue on the Theory and Practice of Differential Privacy.

Articles

• 
  Thomas Steinke, Jonathan R. Ullman:
  Between Pure and Approximate Differential Privacy.
• 
  Fragkiskos Koufogiannis, Shuo Han, George J. Pappas:
  Gradual Release of Sensitive Data under Differential Privacy.
• 
  Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu:
  Dual Query: Practical Private Query Release for High Dimensional Data.
• 
  Michael Backes, Aniket Kate, Praveen Manoharan, Sebastian Meiser, Esfandiar Mohammadi:
  AnoA: A Framework for Analyzing Anonymous Communication Protocols.
• 
  Mohammad Alaggan, Sébastien Gambs, Anne-Marie Kermarrec:
  Heterogeneous Differential Privacy.
• 
  Hamid Ebadi, David Sands:
  Featherweight PINQ.

Articles

• 
  John M. Abowd:
  How Will Statistical Agencies Operate When All Data Are Private?
• 
  Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith:
  Calibrating Noise to Sensitivity in Private Data Analysis. 17-51
• 
  Anne-Sophie Charest, Yiwei Hou:
  On the Meaning and Limits of Empirical Differential Privacy. 53-66
• 
  Gillian M. Raab, Beata Nowok, Chris Dibben:
  Practical Data Synthesis for Large Samples. 67-97
• 
  Samuel S. Wu, Shigang Chen, Deborah L Burr, Long Zhang:
  A New Data Collection Technique for Preserving Privacy. 99-129

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last updated on 2024-07-18 21:52 CEST by the dblp team

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