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

Gang Wang

ISBN 10: 3030596206 / ISBN 13: 9783030596200

Published by Springer International Publishing, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book constitutes selected papers from the First International Workshop onDeployable 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.

Seller Inventory # 9783030596200

Bibliographic Details

• Title: Deployable Machine Learning for Security Defense : First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
• Publisher: Springer International Publishing
• 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

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.