Gabor Layers Enhance Network Robustness

dc.contributor.authorJuan C. Pérez
dc.contributor.authorMotasem Alfarra
dc.contributor.authorGuillaume Jeanneret
dc.contributor.authorAdel Bibi
dc.contributor.authorAli Thabet
dc.contributor.authorBernard Ghanem
dc.contributor.authorPablo Arbeláez
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:41:57Z
dc.date.available2026-03-22T20:41:57Z
dc.date.issued2020
dc.descriptionCitaciones: 7
dc.identifier.doi10.1007/978-3-030-58545-7_26
dc.identifier.urihttps://doi.org/10.1007/978-3-030-58545-7_26
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/83548
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofLecture notes in computer science
dc.sourceUniversidad de Los Andes
dc.subjectMNIST database
dc.subjectRobustness (evolution)
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectLipschitz continuity
dc.subjectGabor filter
dc.subjectExploit
dc.subjectConvolutional neural network
dc.subjectPattern recognition (psychology)
dc.subjectDeep learning
dc.titleGabor Layers Enhance Network Robustness
dc.typepreprint

Files