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» Integrating Private Databases for Data Analysis
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SIGMOD
2003
ACM
146views Database» more  SIGMOD 2003»
14 years 5 months ago
Information Sharing Across Private Databases
Literature on information integration across databases tacitly assumes that the data in each database can be revealed to the other databases. However, there is an increasing need ...
Rakesh Agrawal, Alexandre V. Evfimievski, Ramakris...
STOC
2007
ACM
112views Algorithms» more  STOC 2007»
14 years 6 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith
ICDE
2012
IEEE
221views Database» more  ICDE 2012»
11 years 8 months ago
DPCube: Releasing Differentially Private Data Cubes for Health Information
—We demonstrate DPCube, a component in our Health Information DE-identification (HIDE) framework, for releasing differentially private data cubes (or multi-dimensional histogram...
Yonghui Xiao, James J. Gardner, Li Xiong
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 6 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
14 years 6 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork