Deployable Machine Learning for Security Defense

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

Gang Wang editor Arridhana Ciptadi editor Ali Ahmadzadeh editor

Format:Paperback

Publisher:Springer Nature Switzerland AG

Published:18th Oct '20

Currently unavailable, and unfortunately no date known when it will be back

Deployable Machine Learning for Security Defense cover

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.

ISBN: 9783030596200

Dimensions: unknown

Weight: unknown

165 pages

1st ed. 2020