FriendNet Backdoor: Indentifying Backdoor Attack that is safe for Friendly Deep Neural Network

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dc.contributor.authorKwon, Hyunko
dc.contributor.authorYoon, Hyunsooko
dc.contributor.authorPark, Ki-Woongko
dc.date.accessioned2020-01-30T09:20:10Z-
dc.date.available2020-01-30T09:20:10Z-
dc.date.created2020-01-29-
dc.date.issued2020-01-13-
dc.identifier.citationThe 3rd International Conference on Software Engineering and Information Management (ICSIM 2020)-
dc.identifier.urihttp://hdl.handle.net/10203/271943-
dc.languageEnglish-
dc.publisherACM’s International Conference Proceedings Series-
dc.titleFriendNet Backdoor: Indentifying Backdoor Attack that is safe for Friendly Deep Neural Network-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThe 3rd International Conference on Software Engineering and Information Management (ICSIM 2020)-
dc.identifier.conferencecountryAT-
dc.identifier.conferencelocationRendezvous Hotel Sydney Central-
dc.contributor.localauthorYoon, Hyunsoo-
dc.contributor.nonIdAuthorPark, Ki-Woong-
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CS-Conference Papers(학술회의논문)
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