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

Wang, Gang (Editor)/ Ciptadi, Arridhana (Editor)/ Ahmadzadeh, Ali (Editor)

ISBN 10: 3030596206 / ISBN 13: 9783030596200

Published by Springer-Nature New York Inc, 2020

About this Item

165 pages. 9.25x6.10x0.43 inches. In Stock.

Seller Inventory # x-3030596206

Bibliographic Details

• Title: Deployable Machine Learning for Security Defense: First International Workshop, Mlhat 2020, San Diego, USA, August 24, Proceedings
• Publisher: Springer-Nature New York Inc
• Publication Date: 2020
• Language: English
• ISBN 10: 3030596206
• ISBN 13: 9783030596200
• Binding: Paperback
• Condition: Brand New
• Weight: 0.28 kilograms

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.