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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Erikson_J%E2%88%9A%C4%BClio_De_Aguiar>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/M%E2%88%9A%C2%B0rcus_V._L._Costa>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FCBMS58004.2023.00184>
foaf:homepage <https://doi.org/10.1109/CBMS58004.2023.00184>
dc:identifier DBLP conf/cbms/AguiarCTT23 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FCBMS58004.2023.00184 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. (xsd:string)
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foaf:maker <https://dblp.l3s.de/d2r/resource/authors/M%E2%88%9A%C2%B0rcus_V._L._Costa>
swrc:pages 13-16 (xsd:string)
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dc:title Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document