Kernel rootkits that modify operating system state to avoid detection are a dangerous threat to system security. This paper presents OSck, a system that discovers kernel rootkits ...
Owen S. Hofmann, Alan M. Dunn, Sangman Kim, Indraj...
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
We present a conceptual framework for location-aware community systems and results from two studies of how sociallydefined places influence people's information sharing and c...
Quentin Jones, Sukeshini A. Grandhi, Steve Whittak...
In this paper, we explore the role that attribution plays in shaping user reactions to content reuse, or remixing, in a large user-generated content community. We present two stud...
This paper1 presents novel algorithms and applications for a particular class of mixed-norm regularization based Multiple Kernel Learning (MKL) formulations. The formulations assu...
Jonathan Aflalo, Aharon Ben-Tal, Chiranjib Bhattac...