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Deployable Machine Learning for Security Defense - First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R2,087
Discovery Miles 20 870
Repayment Terms: R196 pm x 12*
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Deployable Machine Learning for Security Defense - First International Workshop, MLHat 2020, San Diego, CA, USA, August 24,...

Deployable Machine Learning for Security Defense - First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Paperback, 1st ed. 2020)

Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh

Series: Communications in Computer and Information Science, 1271

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Loot Price R2,087 Discovery Miles 20 870 | Repayment Terms: R196 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Communications in Computer and Information Science, 1271
Release date: October 2020
First published: 2020
Editors: Gang Wang • Arridhana Ciptadi • Ali Ahmadzadeh
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 165
Edition: 1st ed. 2020
ISBN-13: 978-3-03-059620-0
Categories: Books > Computing & IT > General theory of computing > General
Books > Computing & IT > Computer communications & networking > Network security
Books > Computing & IT > Internet > Network computers
Books > Computing & IT > Social & legal aspects of computing > Computer fraud & hacking
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-03-059620-6
Barcode: 9783030596200

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