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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/uic/YinLSTL22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Fuqiang_Tao>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Lihua_Yin>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Ran_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yang_Lv>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zhe_Sun>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FSmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323>
foaf:homepage <https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323>
dc:identifier DBLP conf/uic/YinLSTL22 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FSmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label A Quantifying Approach for Evaluating Differential Privacy in Deep Learning. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Fuqiang_Tao>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Lihua_Yin>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Ran_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yang_Lv>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zhe_Sun>
swrc:pages 2272-2278 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/uic/2022>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/uic/YinLSTL22/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/uic/YinLSTL22>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/uic/uic2022.html#YinLSTL22>
rdfs:seeAlso <https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00323>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/uic>
dc:title A Quantifying Approach for Evaluating Differential Privacy in Deep Learning. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document