Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies
Download or Read eBook Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies PDF written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-08-22 with total page 83 pages. Available in PDF, EPUB and Kindle.
| Author | : National Academies of Sciences, Engineering, and Medicine |
| Publisher | : National Academies Press |
| Total Pages | : 83 |
| Release | : 2019-08-22 |
| ISBN-10 | : 9780309496094 |
| ISBN-13 | : 0309496098 |
| Rating | : 4/5 (94 Downloads) |
Book Synopsis Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies by : National Academies of Sciences, Engineering, and Medicine
Book excerpt: The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11â€"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.
