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» Private record matching using differential privacy
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FOCS
2008
IEEE
15 years 4 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 3 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
13 years 1 days ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
PODS
2008
ACM
174views Database» more  PODS 2008»
15 years 9 months ago
Epistemic privacy
We present a novel definition of privacy in the framework of offline (retroactive) database query auditing. Given information about the database, a description of sensitive data, ...
Alexandre V. Evfimievski, Ronald Fagin, David P. W...
PODS
2009
ACM
134views Database» more  PODS 2009»
15 years 10 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...