We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
In this paper, we address issues related to flow correlation attacks and the corresponding countermeasures in mix networks. Mixes have been used in many anonymous communication s...
Ye Zhu, Xinwen Fu, Bryan Graham, Riccardo Bettati,...
We empirically analyzed sanitizer use in a shipping web application with over 400,000 lines of code and over 23,244 methods, the largest empirical analysis of sanitizer use of whi...
We present a new method for spectral clustering with paired data based on kernel canonical correlation analysis, called correlational spectral clustering. Paired data are common i...
This paper aims to introduce the robustness against noise into the spectral clustering algorithm. First, we propose a warping model to map the data into a new space on the basis o...