Deployable Machine Learning for Security Defense - First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Paperback, 1st ed. 2020)


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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Product 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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Product Details

General

Imprint

Springer Nature Switzerland AG

Country of origin

Switzerland

Series

Communications in Computer and Information Science, 1271

Release date

October 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Editors

, ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

165

Edition

1st ed. 2020

ISBN-13

978-3-03-059620-0

Barcode

9783030596200

Categories

LSN

3-03-059620-6



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