Adversarial Robustness on In- and Out-Distribution Improves Explainability

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	BookPart	de_DE
dc.type	ConferenceObject	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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