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▼a 9780309496124
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▼a 0309496128
▼q (electronic bk.) -
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▼z 9780309496094
▼q (paperback) -
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▼z 0309496098
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▼a (OCoLC)1121628374
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▼a Casola, Linda Clare,
▼d 1982-,
▼e rapporteur. -
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▼a Robust machine learning algorithms and systems for detection and mitigation of adversarial attacks and anomalies:
▼b proceedings of a workshop /:
▼c Linda Casola and Dionna Ali, rapporteurs ; Intelligence Community Studies Board ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine. -
260
▼a Washington, DC:
▼b the National Academies Press,
▼c [2019]. -
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▼a 1 online resource (xii, 69 pages):
▼b color illustrations. -
336
▼a text
▼b txt
▼2 rdacontent -
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▼a computer
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▼a online resource
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▼a Includes bibliographical references (pages 53-54).
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▼a Introduction -- Plenary session -- Adversarial attacks -- Detection and mitigation of adversarial attacks and anomalies -- Enablers of machine learning algorithms and systems -- Recent trends i machine learning, parts 1 and 2 -- Plenary session -- Recent trends in machine learning, part 3 -- Machine learning systems --References -- Appendixes
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▼a "The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11-12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop"--Publisher's description
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▼a Online resource; title from PDF title page (National Academies Press, viewed March 26, 2019).
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▼a Master record variable field(s) change: 050, 650
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650
▼a Machine learning
▼v Congresses. -
650
▼a Computer algorithms
▼v Congresses. -
650
▼a Cyberterrorism
▼x Prevention
▼v Congresses. -
650
▼a Machine learning.
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650
▼a Computer security.
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650
▼a Computer networks
▼x Security measures. -
700
▼a Ali, Dionna,
▼e rapporteur. -
710
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Intelligence Community Studies Board,
▼e issuing body. -
710
▼a National Academies of Sciences, Engineering, and Medicine (U.S.).
▼b Computer Science and Telecommunications Board,
▼e issuing body. -
711
▼a Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies (Workshop)
▼d (2018 :
▼c Berkeley, Ca.),
▼j author. -
856
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2264538 -
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▼a eBook
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Detailed Information
Robust machine learning algorithms and systems for detection and mitigation of adversarial attacks and anomalies : proceedings of a workshop
QR Code| Data Type : | eBook |
|---|---|
| ISBN : | 9780309496124 |
| ISBN : | 0309496128 |
| ISBN : | |
| ISBN : | |
| Personal Author : | Casola, Linda Clare, 1982-, rapporteur. |
| Title/Author : | Robust machine learning algorithms and systems for detection and mitigation of adversarial attacks and anomalies: proceedings of a workshop /: Linda Casola and Dionna Ali, rapporteurs ; Intelligence Community Studies Board ; Computer Science and Telecommunications Board, Division on Engineering and Physical Sciences, the National Academies of Sciences, Engineering, Medicine. |
| Imprint : | Washington, DC: the National Academies Press, [2019]. |
| Format : | 1 online resource (xii, 69 pages): color illustrations. |
| Note : | Includes bibliographical references (pages 53-54). |
| Content Note : | Introduction -- Plenary session -- Adversarial attacks -- Detection and mitigation of adversarial attacks and anomalies -- Enablers of machine learning algorithms and systems -- Recent trends i machine learning, parts 1 and 2 -- Plenary session -- Recent trends in machine learning, part 3 -- Machine learning systems --References -- Appendixes |
| 요약 : | "The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11-12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop"--Publisher's description |
| General Subject Name : | Machine learning -- Congresses. -- |
| General Subject Name : | Computer algorithms -- Congresses. -- |
| General Subject Name : | Cyberterrorism -- Prevention -- Congresses. -- |
| General Subject Name : | Machine learning. -- |
| General Subject Name : | Computer security. -- |
| General Subject Name : | Computer networks -- Security measures. -- |
| Personal Author : | Ali, Dionna, rapporteur. |
| Organization Author : | National Academies of Sciences, Engineering, and Medicine (U.S.). Intelligence Community Studies Board, issuing body. |
| Organization Author : | National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board, issuing body. |
| 회의명 : | Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies (Workshop) (2018 : Berkeley, Ca.), |
| Language | English |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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