Deployable Machine Learning for Security Defense
First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
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Springer International Publishing
2020
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978-3-030-59621-7
3-030-59621-4
Annotation
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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