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...
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...
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...
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...
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, ...