Wang / Ciptadi / Ahmadzadeh Deployable Machine Learning for Security Defense

Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings
1. Auflage 2021
ISBN: 978-3-030-87839-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 157 Seiten

Reihe: Communications in Computer and Information Science

This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. 
The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

Zielgruppe

Research

Autoren/Hrsg.

Wang, Gang

Ciptadi, Arridhana

Ahmadzadeh, Ali

Inhaltsverzeichnis

Machine Learning for Security.- Malware Attack and Defense.