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» Data mining with differential privacy
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WPES
2003
ACM
15 years 3 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
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...
SIGKDD
2008
138views more  SIGKDD 2008»
14 years 9 months ago
PinKDD'08: privacy, security, and trust in KDD post workshop report
This report summarizes the events of the 2nd International Workshop on Privacy, Security, and Trust in KDD, at the 14th ACM SIGKDD International Conference on Knowledge Discovery ...
Francesco Bonchi, Elena Ferrari, Wei Jiang, Bradle...
DMKD
2003
ACM
151views Data Mining» more  DMKD 2003»
15 years 3 months ago
Assuring privacy when big brother is watching
Homeland security measures are increasing the amount of data collected, processed and mined. At the same time, owners of the data raised legitimate concern about their privacy and...
Murat Kantarcioglu, Chris Clifton
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
15 years 10 months ago
Using randomized response techniques for privacy-preserving data mining
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. S...
Wenliang Du, Zhijun Zhan