Deployable Machine Learning for Security Defense / Communications in Computer and Information Science Bd.1271 (PDF)
First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
(Sprache: Englisch)
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...
The 8 full papers were...
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Produktinformationen zu „Deployable Machine Learning for Security Defense / Communications in Computer and Information Science Bd.1271 (PDF)“
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.
Bibliographische Angaben
- 2020, 1st ed. 2020, 165 Seiten, Englisch
- Herausgegeben: Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
- Verlag: Springer International Publishing
- ISBN-10: 3030596214
- ISBN-13: 9783030596217
- Erscheinungsdatum: 17.10.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 19 MB
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Sprache:
Englisch
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