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- Deployable Machine Learning for Security Defense
Deployable Machine Learning for Security Defense
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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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