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Deployable machine learning for secu...

(1998 :)

Deployable machine learning for security defensesecond International Workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deployable machine learning for security defenseedited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh.
其他題名:	second International Workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /
其他題名:	MLHat 2021
其他作者:	Wang, Gang.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	vii, 157 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	https://doi.org/10.1007/978-3-030-87839-9
ISBN:	9783030878399$q(electronic bk.)

Deployable machine learning for security defensesecond International Workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /
Deployable machine learning for security defensesecond International Workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /[electronic resource] :MLHat 2021edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh. - Cham :Springer International Publishing :2021. - vii, 157 p. :ill., digital ;24 cm. - Communications in computer and information science,14821865-0937 ;. - Communications in computer and information science ;229..

This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

ISBN: 9783030878399$q(electronic bk.)

Standard No.: 10.1007/978-3-030-87839-9doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5 / .M54 2021

Dewey Class. No.: 006.31

Deployable machine learning for security defensesecond International Workshop, MLHat 2021, virtual event, August 15, 2021 : proceedings /
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