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CCS
2009
ACM
15 years 4 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
KBSE
2007
IEEE
15 years 4 months ago
Combined static and dynamic mutability analysis
Knowing which method parameters may be mutated during a method’s execution is useful for many software engineering tasks. We present an approach to discovering parameter referen...
Shay Artzi, Adam Kiezun, David Glasser, Michael D....
MM
2003
ACM
124views Multimedia» more  MM 2003»
15 years 3 months ago
Experience based sampling technique for multimedia analysis
We present a novel experience based sampling or experiential sampling technique which has the ability to focus on the analysis’s task by making use of the contextual information...
Jun Wang, Mohan S. Kankanhalli
PRIB
2009
Springer
100views Bioinformatics» more  PRIB 2009»
15 years 4 months ago
Evidence-Based Clustering of Reads and Taxonomic Analysis of Metagenomic Data
Abstract. The rapidly emerging field of metagenomics seeks to examine the genomic content of communities of organisms to understand their roles and interactions in an ecosystem. I...
Gianluigi Folino, Fabio Gori, Mike S. M. Jetten, E...
ICDAR
2003
IEEE
15 years 3 months ago
Training on Severely Degraded Text-Line Images
We show that document image decoding (DID) supervised training algorithms, as a result of recent refinements, achieve high accuracy with low manual effort even under conditions o...
Prateek Sarkar, Henry S. Baird, Xiaohu Zhang