In this paper we consider the problem of efficiently locating cryptographic keys hidden in gigabytes of data, such as the complete file system of a typical PC. We describe efficie...
We present our work on using statistical, corpus-based machine learning techniques to simultaneously recognize an agent's current goal schemas at various levels of a hierarch...
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
To hide data in credentials is a key problem in information security. In this paper, a summary of the work on data hiding-capacity is made and several communication channel models...
We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation...
Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn...