Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop

National Academies of Sciences, Engineering, and Medicine

doi:10.17226/25534

Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop (2019)

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Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies

Proceedings of a Workshop (2019)

Proceedings

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Overview

Contributors

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

Description

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.

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Suggested Citation

National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. https://doi.org/10.17226/25534.

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Publication Info

82 pages | 8.5 x 11
Ebook
ISBN: 978-0-309-49612-4
DOI: https://doi.org/10.17226/25534

Contents

Table of Contents	skim chapter
Front Matter	i-xii
1 Introduction	1-2
2 Plenary Session	3-6
3 Adversarial Attacks	7-12
4 Detection and Mitigation of Adversarial Attacks and Anomalies	13-18
5 Enablers of Machine Learning Algorithms and Systems	19-22
6 Recent Trends in Machine Learning, Parts 1 and 2	23-34
7 Plenary Session	35-38
8 Recent Trends in Machine Learning, Part 3	39-45
9 Machine Learning Systems	46-52
References	53-54
Appendixes	55-56
Appendix A: Biographical Sketches of Workshop Planning Committee	57-61
Appendix B: Workshop Agenda	62-64
Appendix C: Workshop Statement of Task	65-65
Appendix D: Capability Technology Matrix	66-68
Appendix E: Acronyms	69-70

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