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Improving Security and Robustness of Hardware and Learning Systems
Improving Security and Robustness of Hardware and Learning Systems
Improving Security and Robustness of Hardware and Learning Systems

Detailed Information

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  
Error correction & detection
일반주제명  
Neural networks
일반주제명  
Circuits
일반주제명  
Design specifications
일반주제명  
Noise
일반주제명  
Transistors
일반주제명  
Thin films
일반주제명  
Field programmable gate arrays
일반주제명  
Artificial intelligence
키워드  
Circuit sythesis
키워드  
Federated learning
키워드  
Formal verfication
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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■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

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