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» Practical Private Computation and Zero-Knowledge Tools for P...
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HICSS
2009
IEEE
144views Biometrics» more  HICSS 2009»
14 years 1 months ago
Privacy Preserving Decision Tree Mining from Perturbed Data
Privacy preserving data mining has been investigated extensively. The previous works mainly fall into two categories, perturbation and randomization based approaches and secure mu...
Li Liu, Murat Kantarcioglu, Bhavani M. Thuraisingh...
SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 7 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
PAISI
2010
Springer
13 years 4 months ago
Efficient Privacy Preserving K-Means Clustering
Abstract. This paper introduces an efficient privacy-preserving protocol for distributed K-means clustering over an arbitrary partitioned data, shared among N parties. Clustering i...
Maneesh Upmanyu, Anoop M. Namboodiri, Kannan Srina...
DAWAK
2007
Springer
14 years 13 days ago
Computing Join Aggregates over Private Tables
We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information ov...
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
SIGMOD
2010
ACM
236views Database» more  SIGMOD 2010»
13 years 11 months ago
Differentially private aggregation of distributed time-series with transformation and encryption
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...
Vibhor Rastogi, Suman Nath