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» Can machine learning be secure
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99
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SP
2003
IEEE
15 years 6 months ago
Using Memory Errors to Attack a Virtual Machine
We present an experimental study showing that soft memory errors can lead to serious security vulnerabilities in Java and .NET virtual machines, or in any system that relies on ty...
Sudhakar Govindavajhala, Andrew W. Appel
49
Voted
ICALT
2008
IEEE
15 years 7 months ago
Secure Certification for ePortfolios
Students often build up portfolios of their achievements as they study and present them when they apply for jobs or for further study. Of increasing interest is the concept of an ...
Lisha Chen-Wilson, Patrick Newcombe, Piers Royce, ...
ECTEL
2006
Springer
15 years 4 months ago
A Context-Model for Supporting Work-Integrated Learning
Abstract. This contribution introduces the so-called Workplace Learning Context as essential conceptualisation supporting self-directed learning experiences directly at the workpla...
Armin Ulbrich, Peter Scheir, Stefanie N. Lindstaed...
ICIP
2001
IEEE
16 years 2 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
116
Voted
PKDD
2007
Springer
76views Data Mining» more  PKDD 2007»
15 years 6 months ago
Experiment Databases: Towards an Improved Experimental Methodology in Machine Learning
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...
Hendrik Blockeel, Joaquin Vanschoren