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Deployable Machine Learning for Security Defense

Deployable Machine Learning for Security Defense

First International Workshop, MLHat 2020, San Diego, USA, August 24, Proceedings

by Gang WangArridhana Ciptadi and Ali Ahmadzadeh
Paperback
Publication Date: 18/10/2020

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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.
ISBN:
9783030596200
9783030596200
Category:
Information technology: general issues
Format:
Paperback
Publication Date:
18-10-2020
Language:
English
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Dimensions (mm):
235x155mm
Weight:
0.45kg

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