Deployable Machine Learning for Security Defense

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

By: Ali Ahmadzadeh (Editor), Gang Wang (Editor), Arridhana Ciptadi (Editor)

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Paperback | 18 October 2020

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176 Pages

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23.5 x 15.5 x 0.97

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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.

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