Deployable Machine Learning for Security Defense First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings - Communications in Computer and Information Science

Gang Wang (editor), Arridhana Ciptadi (editor), Ali Ahmadzadeh (editor)

1st Edition 2020

Paperback (18 Oct 2020)

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Publisher's 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.

Book information

ISBN:	9783030596200
Publisher:	Springer International Publishing
Imprint:	Springer
Pub date:	18 Oct 2020
Edition:	1st Edition 2020
Language:	English
Number of pages:	165
Weight:	254g
Height:	235mm
Width:	155mm
Spine width:	10mm