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» A Clustering Approach for Achieving Data Privacy
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SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 9 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
ICDE
2007
IEEE
143views Database» more  ICDE 2007»
14 years 8 months ago
Hiding in the Crowd: Privacy Preservation on Evolving Streams through Correlation Tracking
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...
Feifei Li, Jimeng Sun, Spiros Papadimitriou, Georg...
TITB
2010
128views Education» more  TITB 2010»
13 years 2 months ago
Data-Centric Privacy Protocol for Intensive Care Grids
Abstract--Modern e-Health systems require advanced computing and storage capabilities, leading to the adoption of technologies like the grid and giving birth to novel health grid s...
J. Luna, Marios D. Dikaiakos, Manolis Marazakis, T...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 8 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
PR
2007
107views more  PR 2007»
13 years 6 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris