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» Computational Differential Privacy
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FOCS
2007
IEEE
14 years 4 months ago
Mechanism Design via Differential Privacy
We study the role that privacy-preserving algorithms, which prevent the leakage of specific information about participants, can play in the design of mechanisms for strategic age...
Frank McSherry, Kunal Talwar
ICFP
2010
ACM
13 years 11 months ago
Distance makes the types grow stronger: a calculus for differential privacy
We want assurances that sensitive information will not be disclosed when aggregate data derived from a database is published. Differential privacy offers a strong statistical guar...
Jason Reed, Benjamin C. Pierce
SIGMOD
2012
ACM
278views Database» more  SIGMOD 2012»
12 years 7 days ago
Differential privacy in data publication and analysis
Data privacy has been an important research topic in the security, theory and database communities in the last few decades. However, many existing studies have restrictive assumpt...
Yin Yang, Zhenjie Zhang, Gerome Miklau, Marianne W...
FOCS
2010
IEEE
13 years 7 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
SIGMOD
2011
ACM
283views Database» more  SIGMOD 2011»
13 years 18 days ago
iReduct: differential privacy with reduced relative errors
Prior work in differential privacy has produced techniques for answering aggregate queries over sensitive data in a privacypreserving way. These techniques achieve privacy by addi...
Xiaokui Xiao, Gabriel Bender, Michael Hay, Johanne...