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» Can machine learning be secure
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105
Voted
CCS
2008
ACM
15 years 2 months ago
Adaptive distributed mechanism against flooding network attacks based on machine learning
Josep Lluis Berral, Nicolás Poggi, Javier A...
139
Voted
ISF
2010
164views more  ISF 2010»
14 years 10 months ago
An SVM-based machine learning method for accurate internet traffic classification
Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Ruixi Yuan, Zhu Li, Xiaohong Guan, Li Xu
100
Voted
ICALT
2005
IEEE
15 years 6 months ago
Can Collaborative Technologies Improve Management Education?
This paper explores the potential impact of collaborative technologies on improving management education. The first goal is to expose students to tools and practices that not only...
Marie-Noëlle Bessagnet, Lee Schlenker, Robert...
DSMML
2004
Springer
15 years 6 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
87
Voted
CCS
2009
ACM
15 years 7 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