Deployable Machine Learning for Security Defense : First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
1st ed. 2020
Book Details
Format
Paperback / Softback
ISBN-10
3030596206
ISBN-13
9783030596200
Edition
1st ed. 2020
Publisher
Springer Nature Switzerland AG
Imprint
Springer Nature Switzerland AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 18th, 2020
Print length
165 Pages
Ksh 11,700.00
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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. The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions.
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.
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