Adversarial Learning-based Approaches to Achieving Fairness: A Survey

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dc.contributor.authorMina, Rustyko
dc.contributor.author유창동ko
dc.date.accessioned2019-11-28T00:20:09Z-
dc.date.available2019-11-28T00:20:09Z-
dc.date.created2019-11-27-
dc.date.issued2019-11-15-
dc.identifier.citation2019 한국인공지능학회 추계학술대회-
dc.identifier.urihttp://hdl.handle.net/10203/268634-
dc.languageEnglish-
dc.publisher한국인공지능학회-
dc.titleAdversarial Learning-based Approaches to Achieving Fairness: A Survey-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2019 한국인공지능학회 추계학술대회-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocation더 케이호텔, 서울-
dc.contributor.localauthor유창동-
dc.contributor.nonIdAuthorMina, Rusty-
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EE-Conference Papers(학술회의논문)
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