Deployable Machine Learning for Security Defense | First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Gang Wang (u. a.)

ISBN 10: 3030596206 / ISBN 13: 9783030596200

Published by Springer, 2020

About this Item

Deployable Machine Learning for Security Defense | First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings | Gang Wang (u. a.) | Taschenbuch | vii | Englisch | 2020 | Springer | EAN 9783030596200 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 118907196

Bibliographic Details

• Title: Deployable Machine Learning for Security Defense | First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
• Publisher: Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030596206
• ISBN 13: 9783030596200
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 10D millimeters 235 millimeters width by 155 millimeters height by 10 millimeters depth
• Weight: 277 grams
• Seller catalogs:
  • Bücher

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.