ENGLISH

Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Book information

Publisher
Springer
Year
2020
ISBN
9783030596200, 9783030596217
Language
english
Format
PDF
Filesize
20 MB (21015138 bytes)
Series
Communications in Computer and Information Science
Volume
1271
Edition
1
Pages
172\168
Time added
2020-11-03 17:26:25

Description

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.

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