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Improving Security and Robustness of Hardware and Learning Systems
Improving Security and Robustness of Hardware and Learning Systems
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210094202
- ISBN
- 9798538136896
- DDC
- 621.3
- 저자명
- Kong, Shuyu.
- 서명/저자
- Improving Security and Robustness of Hardware and Learning Systems
- 발행사항
- [Sl] : Northwestern University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 111 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
- 주기사항
- Advisor: Zhou, Hai.
- 학위논문주기
- Thesis (Ph.D.)--Northwestern University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Computer engineering
- 일반주제명
- Computer science
- 일반주제명
- Accuracy
- 일반주제명
- Manufacturing
- 일반주제명
- Deep learning
- 일반주제명
- Datasets
- 일반주제명
- Neural networks
- 일반주제명
- Circuits
- 일반주제명
- Design specifications
- 일반주제명
- Noise
- 일반주제명
- Transistors
- 일반주제명
- Thin films
- 일반주제명
- Artificial intelligence
- 키워드
- Circuit sythesis
- 키워드
- Noisy training
- 키워드
- Robustness
- 키워드
- Security
- 기타저자
- Northwestern University Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520220210094202
■020 ▼a9798538136896
■035 ▼a(MiAaPQ)AAI28715842
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aKong, Shuyu.
■24510▼aImproving Security and Robustness of Hardware and Learning Systems
■260 ▼a[Sl]▼bNorthwestern University▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a111 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-03, Section: B.
■500 ▼aAdvisor: Zhou, Hai.
■5021 ▼aThesis (Ph.D.)--Northwestern University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0163.
■650 4▼aComputer engineering
■650 4▼aComputer science
■650 4▼aAccuracy
■650 4▼aManufacturing
■650 4▼aDeep learning
■650 4▼aDatasets
■650 4▼aError correction & detection
■650 4▼aNeural networks
■650 4▼aCircuits
■650 4▼aDesign specifications
■650 4▼aNoise
■650 4▼aTransistors
■650 4▼aThin films
■650 4▼aField programmable gate arrays
■650 4▼aArtificial intelligence
■653 ▼aCircuit sythesis
■653 ▼aFederated learning
■653 ▼aFormal verfication
■653 ▼aNoisy training
■653 ▼aRobustness
■653 ▼aSecurity
■690 ▼a0464
■690 ▼a0984
■690 ▼a0800
■71020▼aNorthwestern University▼bComputer Engineering.
■7730 ▼tDissertations Abstracts International▼g83-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0163
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16054244▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
