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» Publishing Skewed Sensitive Microdata
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SDM
2010
SIAM
128views Data Mining» more  SDM 2010»
13 years 6 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 7 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 4 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 4 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 5 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, ...