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Proceedings
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop (2019)
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
Computers and Information Technology | Conflict and Security Issues
Consensus Study Report
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions (2017)
National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions; Committee on Applied and Theoretical Statistics
Conflict and Security Issues | Math, Chemistry, and Physics | Surveys and Statistics