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APPROX
2010
Springer
168views Algorithms» more  APPROX 2010»
13 years 6 months ago
Differential Privacy and the Fat-Shattering Dimension of Linear Queries
In this paper, we consider the task of answering linear queries under the constraint of differential privacy. This is a general and well-studied class of queries that captures oth...
Aaron Roth
PODS
2010
ACM
306views Database» more  PODS 2010»
13 years 9 months ago
Optimizing linear counting queries under differential privacy
Differential privacy is a robust privacy standard that has been successfully applied to a range of data analysis tasks. But despite much recent work, optimal strategies for answe...
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Mikla...
CORR
2012
Springer
217views Education» more  CORR 2012»
12 years 15 days ago
An Adaptive Mechanism for Accurate Query Answering under Differential Privacy
We propose a novel mechanism for answering sets of counting queries under differential privacy. Given a workload of counting queries, the mechanism automatically selects a differ...
Chao Li, Gerome Miklau
STOC
2009
ACM
167views Algorithms» more  STOC 2009»
14 years 5 months ago
Universally utility-maximizing privacy mechanisms
A mechanism for releasing information about a statistical database with sensitive data must resolve a trade-off between utility and privacy. Publishing fully accurate information ...
Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan
ASIACRYPT
2011
Springer
12 years 4 months ago
Noiseless Database Privacy
Differential Privacy (DP) has emerged as a formal, flexible framework for privacy protection, with a guarantee that is agnostic to auxiliary information and that admits simple ru...
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Sr...