Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies : Proceedings of a Workshop EPUB
by Engineering, and Medicine National Academies of Sciences, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Board on Mathematical Sciences and Analytics, Intelligence Community Studies Board
Edited by Dionna Ali, Linda Casola
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.