We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Future homes will be populated with large numbers of robots with diverse functionalities, ranging from chore robots to elder care robots to entertainment robots. While household r...
Tamara Denning, Cynthia Matuszek, Karl Koscher, Jo...
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Managing large scale UNIX networks so that users can use resources on multiple systems is traditionally performed using NIS, NFS, and DNS. Proper use of these tools requires exact...
Educational Partnerships and Learning Technologies (EPLT) [1] at the University of Washington maintains and supports a fleet of approximately 1,000 general-access student computin...