25 search results - page 1 / 5 » Learning in the Limit with Adversarial Disturbances |
COLT
2008
Springer
13 years 6 months ago
2008
Springer
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
NDSS
2008
IEEE
13 years 10 months ago
2008
IEEE
Automatic signature generation is necessary because there may often be little time between the discovery of a vulnerability, and exploits developed to target the vulnerability. Mu...
ESA
2003
Springer
13 years 9 months ago
2003
Springer
Abstract. Recently, efficient leader election algorithms for ad hoc radio networks with low time complexity and energy cost have been designed even for the no-collision detection,...
CCS
2008
ACM
13 years 6 months ago
2008
ACM
Machine learning has become a valuable tool for detecting and preventing malicious activity. However, as more applications employ machine learning techniques in adversarial decisi...
COLT
2008
Springer
13 years 6 months ago
2008
Springer
We analyze a sequential game between a Gambler and a Casino. The Gambler allocates bets from a limited budget over a fixed menu of gambling events that are offered at equal time i...