Vulnerability of classifiers to evolutionary generated adversarial examples
type: Item
instance of: scholarly article
title: Vulnerability of classifiers to evolutionary generated adversarial examples
zbMATH Open document ID: 1468.68175
author: Petra Vidnerová
author: Roman Neruda
published in: Neural Networks
publication date: 2021-09-08T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 68W50
zbMATH DE Number: 7392257
zbMATH Keywords: supervised learning
zbMATH Keywords: neural networks
zbMATH Keywords: kernel methods
zbMATH Keywords: genetic algorithms
zbMATH Keywords: adversarial examples
Wikidata QID: Q94496230
describes a project that uses: MNIST
describes a project that uses: ImageNet
describes a project that uses: AlexNet
describes a project that uses: Keras
describes a project that uses: Scikit
describes a project that uses: DEAP
MaRDI profile type: Publication
full work available at URL: j.neunet.2020.04.015
OpenAlex ID: W3018911559
cites work: Learning Deep Architectures for AI
cites work: Q3327527
cites work: Support-vector networks
cites work: Q5270493
cites work: Complexity of Shallow Networks Representing Finite Mappings
cites work: Q5396710
cites work: Q4261789
DBLP publication ID: journals/nn/VidnerovaN20
DOI: 10.1016/J.NEUNET.2020.04.015
description: scientific article; zbMATH DE number 7392257