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CCS
2009
ACM
16 years 1 months ago
A framework for quantitative security analysis of machine learning
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...
Pavel Laskov, Marius Kloft
HUC
2009
Springer
15 years 11 months ago
A spotlight on security and privacy risks with future household robots: attacks and lessons
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...
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 7 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
LISA
1994
15 years 8 months ago
The Group Administration Shell and the GASH Network Computing Environment
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...
Jonathan Abbey
SIGUCCS
2005
ACM
16 years 8 days ago
Imaging, security, configuration, and maintenance for the masses
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...
Brandon Koeller, Karalee Woody