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CCS
2009
ACM
14 years 3 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
DANCE
2002
IEEE
14 years 1 months ago
Maude as a Wide-Spectrum Framework for Formal Modeling and Analysis of Active Networks
Modeling and formally analyzing active network systems and protocols is quite challenging, due to their highly dynamic nature and the need for new network models. We propose a wid...
José Meseguer, Peter Csaba Ölveczky, M...
BMCBI
2005
158views more  BMCBI 2005»
13 years 8 months ago
Automated generation of heuristics for biological sequence comparison
Background: Exhaustive methods of sequence alignment are accurate but slow, whereas heuristic approaches run quickly, but their complexity makes them more difficult to implement. ...
Guy St. C. Slater, Ewan Birney
CAD
2007
Springer
13 years 8 months ago
A B-spline-based approach to heterogeneous objects design and analysis
The recent advancement of solid freeform fabrication, design techniques and fundamental understanding of material properties in functionally graded materials has made it possible ...
Pinghai Yang, Xiaoping Qian
SC
2009
ACM
14 years 1 months ago
A framework for core-level modeling and design of reconfigurable computing algorithms
Reconfigurable computing (RC) is rapidly becoming a vital technology for many applications, from high-performance computing to embedded systems. The inherent advantages of custom-...
Gongyu Wang, Greg Stitt, Herman Lam, Alan D. Georg...