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» Performance Measurements for Privacy Preserving Data Mining
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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
65
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HASE
2008
IEEE
15 years 4 months ago
Privacy, Preservation and Performance: The 3 P's of Distributed Data Management
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
Bobji Mungamuru, Hector Garcia-Molina
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
14 years 11 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...
KDD
2006
ACM
128views Data Mining» more  KDD 2006»
15 years 10 months ago
On privacy preservation against adversarial data mining
Privacy preserving data processing has become an important topic recently because of advances in hardware technology which have lead to widespread proliferation of demographic and...
Charu C. Aggarwal, Jian Pei, Bo Zhang 0002
KDD
2004
ACM
132views Data Mining» more  KDD 2004»
15 years 10 months ago
Privacy preserving regression modelling via distributed computation
Reluctance of data owners to share their possibly confidential or proprietary data with others who own related databases is a serious impediment to conducting a mutually beneficia...
Ashish P. Sanil, Alan F. Karr, Xiaodong Lin, Jerom...