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Beschreibung
This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online.
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.
First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 18. Oktober 2020 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 277 Gramm |
| Format | Softcover |
| ISBN-13 | 9783030596200 |
| Auflage | 1st ed. 2020 |
| Seiten | 165 |
Schlagwörter
Angewandte Informatik, Artificial Intelligence, Computer and Information Systems Applications, Computer Communication Networks, Computer Crime, Computerkriminalität - Hacking, Computersicherheit, Computing Milieux, Data and Information Security, Informationstechnik (IT) - allgemeine Themen, Künstliche Intelligenz, Netzwerk-Hardware, Netzwerksicherheit
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