Deployable Machine Learning for Security Defense (eBook, PDF)
First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
Redaktion: Wang, Gang; Ahmadzadeh, Ali; Ciptadi, Arridhana
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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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