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» Data mining with differential privacy
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ICDE
2008
IEEE
157views Database» more  ICDE 2008»
15 years 11 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
TLCA
2005
Springer
15 years 3 months ago
Privacy in Data Mining Using Formal Methods
There is growing public concern about personal data collected by both private and public sectors. People have very little control over what kinds of data are stored and how such da...
Stan Matwin, Amy P. Felty, István T. Hern&a...
SIGKDD
2002
90views more  SIGKDD 2002»
14 years 9 months ago
Cryptographic Techniques for Privacy-Preserving Data Mining
Research in secure distributed computation, which was done as part of a larger body of research in the theory of cryptography, has achieved remarkable results. It was shown that n...
Benny Pinkas
ICFP
2010
ACM
14 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
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
15 years 10 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...