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VLDB
2005
ACM
135views Database» more  VLDB 2005»
14 years 3 months ago
Distributed Privacy Preserving Information Sharing
In this paper, we address issues related to sharing information in a distributed system consisting of autonomous entities, each of which holds a private database. Semi-honest beha...
Nan Zhang 0004, Wei Zhao
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
14 years 3 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
14 years 10 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
GIS
2009
ACM
14 years 11 months ago
PROS: A Peer-to-Peer System for Location Privacy Protection on Road Networks
The k-anonymity technique is widely used to provide location privacy protection for accessing location-based services (LBS), i.e., the exact location of a query initiator is cloak...
Jie Bao 0003, Haiquan Chen, Wei-Shinn Ku
CRYPTO
2012
Springer
241views Cryptology» more  CRYPTO 2012»
12 years 8 days ago
Crowd-Blending Privacy
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...