Adversarial Robustness on In- and Out-Distribution Improves Explainability

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dc.contributor.author Augustin, Maximilian
dc.contributor.author Meinke, Alexander
dc.contributor.author Hein, Matthias
dc.date.accessioned 2021-07-07T15:16:31Z
dc.date.available 2021-07-07T15:16:31Z
dc.date.issued 2020
dc.identifier.isbn 978-3-030-58573-0
dc.identifier.isbn 978-3-030-58574-7
dc.identifier.uri http://hdl.handle.net/10900/116922
dc.language.iso en de_DE
dc.publisher Cham : Springer de_DE
dc.relation.ispartofseries Lecture Notes in Computer Science;12371
dc.relation.uri https://dx.doi.org/10.1007/978-3-030-58574-7_14 de_DE
dc.subject.ddc 004 de_DE
dc.title Adversarial Robustness on In- and Out-Distribution Improves Explainability de_DE
dc.type Buch (einzelnes Kapitel) de_DE
dc.type Konferenzveröffentlichung de_DE
utue.personen.roh Augustin, Maximilian
utue.personen.roh Meinke, Alexander
utue.personen.roh Hein, Matthias
utue.publikation.buchdesbeitrags Vedaldi A., Bischof H., Brox T., Frahm JM. (eds) Computer Vision – ECCV 2020 de_DE


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