The security of machine learning
type: Item
instance of: scholarly article
title: The security of machine learning
zbMATH Open document ID: 1470.68080
author: Marco Barreno
author: Blaine Nelson
author: Anthony D. Joseph
author: J. D. Tygar
published in: Machine Learning
publication date: 2010-10-07T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68M25
zbMATH DE Number: 5796887
zbMATH Keywords: security
zbMATH Keywords: adversarial learning
zbMATH Keywords: adversarial environments
describes a project that uses: robustbase
describes a project that uses: SpamBayes
describes a project that uses: Autograph
describes a project that uses: Polygraph
MaRDI profile type: Publication
full work available at URL: s10994-010-5188-5
OpenAlex ID: W2125908420
cites work: Prediction, Learning, and Games
cites work: Q3093211
cites work: Q3723487
cites work: Robust Statistics
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cites work: Machine Learning: ECML 2004
cites work: Q3137692
cites work: A Mathematical Theory of Communication
cites work: Q4425831
cites work: Q4414171
cites work: A theory of the learnable
cites work: Q4040887
DOI: 10.1007/S10994-010-5188-5
description: scientific article; zbMATH DE number 5796887