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» Optimal randomization for privacy preserving data mining
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DAWAK
2006
Springer
13 years 11 months ago
Two New Techniques for Hiding Sensitive Itemsets and Their Empirical Evaluation
Many privacy preserving data mining algorithms attempt to selectively hide what database owners consider as sensitive. Specifically, in the association-rules domain, many of these ...
Ahmed HajYasien, Vladimir Estivill-Castro
ISCAS
2008
IEEE
230views Hardware» more  ISCAS 2008»
14 years 2 months ago
Joint optimization of data hiding and video compression
— From copyright protection to error concealment, video data hiding has found usage in a great number of applications. Recently proposed applications such as privacy data preserv...
Jithendra K. Paruchuri, Sen-Ching S. Cheung
EDBT
2009
ACM
90views Database» more  EDBT 2009»
14 years 2 months ago
Privacy-preserving data mashup
Mashup is a web technology that combines information from more than one source into a single web application. This technique provides a new platform for different data providers ...
Noman Mohammed, Benjamin C. M. Fung, Ke Wang, Patr...
IACR
2011
87views more  IACR 2011»
12 years 7 months ago
Is privacy compatible with truthfulness?
In the area of privacy-preserving data mining, a differentially private mechanism intuitively encourages people to share their data truthfully because they are at little risk of ...
David Xiao
WWW
2007
ACM
14 years 8 months ago
Wherefore art thou r3579x?: anonymized social networks, hidden patterns, and structural steganography
In a social network, nodes correspond to people or other social entities, and edges correspond to social links between them. In an effort to preserve privacy, the practice of anon...
Lars Backstrom, Cynthia Dwork, Jon M. Kleinberg