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» A Privacy Preserving Framework for Gaussian Mixture Models
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CIKM
2005
Springer
14 years 2 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
14 years 9 months ago
Generative model-based clustering of directional data
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
14 years 2 months ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
ICIP
1998
IEEE
14 years 10 months ago
Adaptive Wavelet Packet Image Coding using an Estimation-Quantization Framework
In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [?] to include an adaptive transform component. For ...
Kannan Ramchandran, Mehmet Kivanç Mih&ccedi...
SOUPS
2009
ACM
14 years 3 months ago
Social applications: exploring a more secure framework
Online social network sites, such as MySpace, Facebook and others have grown rapidly, with hundreds of millions of active users. A new feature on many sites is social applications...
Andrew Besmer, Heather Richter Lipford, Mohamed Sh...