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모델 증류기법을 활용한 압축 CNN의 강건성 강화
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Sangkyun | - |
| dc.date.accessioned | 2021-08-27T09:54:15Z | - |
| dc.date.available | 2021-08-27T09:54:15Z | - |
| dc.date.created | 2021-04-22 | - |
| dc.date.issued | 2020-11-28 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/4354 | - |
| dc.publisher | 한국정보보호학회 | - |
| dc.title | 모델 증류기법을 활용한 압축 CNN의 강건성 강화 | - |
| dc.title.alternative | Enhancing the Adversarial Robustness of Compressed CNN with the Knowledge Distillation | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Lee, Sangkyun | - |
| dc.identifier.bibliographicCitation | 정보보호학회 동계학술대회 | - |
| dc.relation.isPartOf | 정보보호학회 동계학술대회 | - |
| dc.relation.isPartOf | 온라인 프로시딩 | - |
| dc.citation.title | 정보보호학회 동계학술대회 | - |
| dc.citation.conferencePlace | KO | - |
| dc.citation.conferenceDate | 2020-11-28 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 2 | - |
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