Catalog > Sciences > Computer Science > Board on Mathematical Sciences and Analytics & Computer Science and Telecommunications Board: Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies (ePUB)

Board on Mathematical Sciences and Analytics & Computer Science and Telecommunications Board
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies [EPUB ebook]
Proceedings of a Workshop

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Cover of Board on Mathematical Sciences and Analytics & Computer Science and Telecommunications Board: Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies (ePUB)

The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 1112, 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.

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Language English ● Format EPUB ● Pages 82 ● ISBN 9780309496124 ● Editor Dionna Ali & Linda Casola ● Publisher National Academies Press ● Published 2019 ● Downloadable 3 times ● Currency EUR ● ID 7183165 ● Copy protection Adobe DRM

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Board on Mathematical Sciences and Analytics Computer Science and Telecommunications Board Division on Engineering and Physical Sciences Intelligence Community Studies Board Dionna Ali Linda Casola Engineering, and Medicine National Academies of Sciences and Medicine National Academies of Sciences Engineering

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