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» Optimal randomization for privacy preserving data mining
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CSE
2009
IEEE
14 years 2 months ago
Noise Injection for Search Privacy Protection
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
Shaozhi Ye, Shyhtsun Felix Wu, Raju Pandey, Hao Ch...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 9 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
ISI
2007
Springer
13 years 7 months ago
Privacy Preserving Collaborative Data Mining
Privacy-preserving data mining is an important issue in the areas of data mining and security. In this paper, we study how to conduct association rule mining, one of the core data...
Justin Z. Zhan
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 4 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
14 years 9 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu