DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/acsac/ParkAWMGKN23
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/acsac/ParkAWMGKN23
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Alsharif_Abuadbba
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Hyoungshick_Kim
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Kristen_Moore
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Seonhye_Park
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Shuo_Wang_0012
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Surya_Nepal
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Yansong_Gao
>
foaf:
homepage
<
http://dx.doi.org/doi.org%2F10.1145%2F3627106.3627204
>
foaf:
homepage
<
https://doi.org/10.1145/3627106.3627204
>
dc:
identifier
DBLP conf/acsac/ParkAWMGKN23
(xsd:string)
dc:
identifier
DOI doi.org%2F10.1145%2F3627106.3627204
(xsd:string)
dcterms:
issued
2023
(xsd:gYear)
rdfs:
label
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Alsharif_Abuadbba
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Hyoungshick_Kim
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Kristen_Moore
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Seonhye_Park
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Shuo_Wang_0012
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Surya_Nepal
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Yansong_Gao
>
swrc:
pages
535-549
(xsd:string)
dcterms:
partOf
<
https://dblp.l3s.de/d2r/resource/publications/conf/acsac/2023
>
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/conf/acsac/ParkAWMGKN23/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/conf/acsac/ParkAWMGKN23
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/conf/acsac/acsac2023.html#ParkAWMGKN23
>
rdfs:
seeAlso
<
https://doi.org/10.1145/3627106.3627204
>
swrc:
series
<
https://dblp.l3s.de/d2r/resource/conferences/acsac
>
dc:
title
DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:InProceedings
rdf:
type
foaf:Document