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» Smooth sensitivity and sampling in private data analysis
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ESORICS
2012
Springer
11 years 10 months ago
Formal Analysis of Privacy in an eHealth Protocol
Given the sensitive nature of health data, privacy of eHealth systems is of prime importance. An eHealth system must enforce that users remain private, even if they are bribed or c...
Naipeng Dong, Hugo Jonker, Jun Pang
SAC
2006
ACM
14 years 1 months ago
On the use of spectral filtering for privacy preserving data mining
Randomization has been a primary tool to hide sensitive private information during privacy preserving data mining.The previous work based on spectral filtering, show the noise ma...
Songtao Guo, Xintao Wu
PDP
2010
IEEE
14 years 25 days ago
Breaking and Fixing the Self Encryption Scheme for Data Security in Mobile Devices
—Data security is one of the major challenges that prevents the wider acceptance of mobile devices, especially within business and government environments. It is non-trivial to p...
Paolo Gasti, Yu Chen
BMCBI
2008
177views more  BMCBI 2008»
13 years 7 months ago
Baseline Correction for NMR Spectroscopic Metabolomics Data Analysis
Background: We propose a statistically principled baseline correction method, derived from a parametric smoothing model. It uses a score function to describe the key features of b...
Yuanxin Xi, David M. Rocke
BIB
2007
59views more  BIB 2007»
13 years 7 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...