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» Differential Privacy in New Settings
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STOC
2007
ACM
112views Algorithms» more  STOC 2007»
15 years 10 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith
EUROCRYPT
2004
Springer
15 years 3 months ago
Traceable Signatures
Abstract. This work presents a new privacy primitive called “Traceable Signatures”, together with an efficient provably secure implementation. To this end, we develop the unde...
Aggelos Kiayias, Yiannis Tsiounis, Moti Yung
101
Voted
CCS
2009
ACM
15 years 4 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...
BMCBI
2008
134views more  BMCBI 2008»
14 years 9 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
BMCBI
2008
130views more  BMCBI 2008»
14 years 9 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...