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MDM
2004
Springer
14 years 3 months ago
Enabling Context-Aware and Privacy-Conscious User Data Sharing
This paper provides detail on two key components of the Houdini framework under development at Bell Labs, that enable context-aware and privacy-conscious user data sharing appropr...
Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Pet...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 11 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 4 months ago
Privacy-Preserving k-NN for Small and Large Data Sets
It is not surprising that there is strong interest in kNN queries to enable clustering, classification and outlierdetection tasks. However, previous approaches to privacypreservi...
Artak Amirbekyan, Vladimir Estivill-Castro
IFIPTM
2009
127views Management» more  IFIPTM 2009»
13 years 7 months ago
A Risk Based Approach to Limit the Effects of Covert Channels for Internet Sensor Data Aggregators for Sensor Privacy
Effective defense against Internet threats requires data on global real time network status. Internet sensor networks provide such real time network data. However, an organization...
Camilo H. Viecco, L. Jean Camp
DMIN
2008
145views Data Mining» more  DMIN 2008»
13 years 11 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild