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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Deployable Machine Learning for Security Defense/ edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh.
Reminder of title:	First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings /
other author:	Wang, Gang.
Description:	VII, 165 p. 170 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computers. -
Online resource:	https://doi.org/10.1007/978-3-030-59621-7
ISBN:	9783030596217

Deployable Machine Learning for Security Defense = First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings /
Deployable Machine Learning for Security DefenseFirst International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings /[electronic resource] :edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh. - 1st ed. 2020. - VII, 165 p. 170 illus., 45 illus. in color.online resource. - Communications in Computer and Information Science,12711865-0929 ;. - Communications in Computer and Information Science,498.

Understanding the Adversaries -- Adversarial ML for Better Security -- Threats on Networks.

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.

ISBN: 9783030596217

Standard No.: 10.1007/978-3-030-59621-7doiSubjects--Topical Terms:

565115
Computers.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 004

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