كتاب إلكتروني
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies : Proceedings of a Workshop
| العنوان: | Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies : Proceedings of a Workshop |
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| الوصف: | The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11ý12, 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. |
| المؤلفون: | National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Board on Mathematical Sciences and Analytics, Intelligence Community Studies Board, Dionna Ali, Linda Casola |
| نوع المادة: | eBook. |
| الموضوعات: | Machine learning, Computer security, Computer networks--Security measures, Machine learning--Congresses, Computer algorithms--Congresses, Cyberterrorism--Prevention--Congresses |
| تصنيفات: | COMPUTERS / Security / General, COMPUTERS / General, POLITICAL SCIENCE / Security (National & International) |
| قاعدة البيانات: | eBook Index |
| ردمك: | 9780309496094 9780309496124 9780309496131 9780309496100 |
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