Title: Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications in Computer and Information Science)
Publisher: Springer
Publication Date: 2020
Language: English
ISBN 10: 3030596206
ISBN 13: 9783030596200
Binding: Soft cover
Condition: Very Good

About this title

Synopsis

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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