Deployable Machine Learning for Security Defense Deployable Machine Learning for Security Defense

Deployable Machine Learning for Security Defense

First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Gang Wang und andere
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Beschreibung des Verlags

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.

GENRE
Computer und Internet
ERSCHIENEN
2020
17. Oktober
SPRACHE
EN
Englisch
UMFANG
172
Seiten
VERLAG
Springer International Publishing
GRÖSSE
23.7
 MB

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