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» Sub-linear Queries Statistical Databases: Privacy with Power
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PODS
2009
ACM
134views Database» more  PODS 2009»
14 years 6 months ago
Relationship privacy: output perturbation for queries with joins
We study privacy-preserving query answering over data containing relationships. A social network is a prime example of such data, where the nodes represent individuals and edges r...
Vibhor Rastogi, Michael Hay, Gerome Miklau, Dan Su...
PODS
2010
ACM
306views Database» more  PODS 2010»
13 years 11 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...
ICFP
2010
ACM
13 years 7 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
ICDT
2007
ACM
107views Database» more  ICDT 2007»
14 years 9 days ago
Privacy in GLAV Information Integration
Abstract. We define and study formal privacy guarantees for information integration systems, where sources are related to a public schema by mappings given by source-to-target dep...
Alan Nash, Alin Deutsch
ICDT
2007
ACM
148views Database» more  ICDT 2007»
14 years 9 days ago
Ask a Better Question, Get a Better Answer A New Approach to Private Data Analysis
Cryptographic techniques for reasoning about information leakage have recently been brought to bear on the classical problem of statistical disclosure control – revealing accurat...
Cynthia Dwork