Deployable Machine Learning for Security Defense
First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
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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.
Autor*in
Gang Wang
Themen in »Deployable Machine Learning for Security Defense«
artificial intelligence computer crime computer security computer systems cryptography cyber-attacks data security information systems intrusion detection machine learning malware network protocols network security operating systems signal processing