Deployable Machine Learning for Security Defense
Format: Print Book
ISBN: 9783030596200
Tax included.
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.
Publication Year: 2020
Imprint: Springer International Publishing
