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» Publishing Skewed Sensitive Microdata
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SDM
2010
SIAM
128views Data Mining» more  SDM 2010»
13 years 11 months ago
Publishing Skewed Sensitive Microdata
A highly skewed microdata contains some sensitive attribute values that occur far more frequently than others. Such data violates the "eligibility condition" assumed by ...
Yabo Xu, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Win...
ASPDAC
2008
ACM
129views Hardware» more  ASPDAC 2008»
13 years 11 months ago
Clock tree synthesis with data-path sensitivity matching
This paper investigates methods for minimizing the impact of process variation on clock skew using buffer and wire sizing. While most papers on clock trees ignore data-path circuit...
Matthew R. Guthaus, Dennis Sylvester, Richard B. B...
ICDE
2007
IEEE
1577views Database» more  ICDE 2007»
15 years 9 months ago
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
The k-anonymity privacy requirement for publishing microdata requires that each equivalence class (i.e., a set of records that are indistinguishable from each other with respect to...
Ninghui Li, Tiancheng Li, Suresh Venkatasubramania...
PR
2007
100views more  PR 2007»
13 years 9 months ago
Estimation of skew angles for scanned documents based on piecewise covering by parallelograms
We propose a fast and robust skew estimation method for scanned documents that estimates skew angles based on piecewise covering of objects, such as textlines, figures, forms, or...
Chien-Hsing Chou, Shih-Yu Chu, Fu Chang
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 10 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...