Effective Targeted Attacks for Adversarial Self-Supervised Learning

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dc.contributor.authorKim, Minseonko
dc.contributor.authorHa, Hyeonjeongko
dc.contributor.authorSon, Sooelko
dc.contributor.authorHwang, Sung Juko
dc.date.accessioned2023-12-11T02:08:08Z-
dc.date.available2023-12-11T02:08:08Z-
dc.date.created2023-12-08-
dc.date.issued2023-12-12-
dc.identifier.citationThirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023-
dc.identifier.urihttp://hdl.handle.net/10203/316196-
dc.languageEnglish-
dc.publisherThirty-seventh Conference on Neural Information Processing Systems-
dc.titleEffective Targeted Attacks for Adversarial Self-Supervised Learning-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-seventh Conference on Neural Information Processing Systems (NeurIPS) 2023-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationNew Orleans Ernest N. Morial Convention Center-
dc.contributor.localauthorSon, Sooel-
dc.contributor.localauthorHwang, Sung Ju-
dc.contributor.nonIdAuthorHa, Hyeonjeong-
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CS-Conference Papers(학술회의논문)AI-Conference Papers(학술대회논문)
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