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Robust machine learning algorithms and systems for detection and mitigation of adversarial attacks and anomalies : proceedings of a workshop /

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자료유형E-Book
개인저자Casola, Linda Clare, 1982-, rapporteur.
Ali, Dionna, rapporteur.
단체저자명National Academies of Sciences, Engineering, and Medicine (U.S.). Intelligence Community Studies Board,issuing body.
National Academies of Sciences, Engineering, and Medicine (U.S.). Computer Science and Telecommunications Board,issuing body.
서명/저자사항Robust 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.
발행사항Washington, DC : the National Academies Press, [2019].
형태사항1 online resource (xii, 69 pages) : color illustrations
소장본 주기Master record variable field(s) change: 050, 650
ISBN9780309496124
0309496128


서지주기Includes bibliographical references (pages 53-54).
내용주기Introduction -- 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
회의명Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies (Workshop)(2018 :Berkeley, Ca.),
일반주제명Machine learning -- Congresses.
Computer algorithms -- Congresses.
Cyberterrorism -- Prevention -- Congresses.
Machine learning.
Computer security.
Computer networks -- Security measures.
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