Deployable Machine Learning for Security Defense : First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (Communications in Computer and Information Science 1271) (1st ed. 2020 2020 vii, 165 S. 125 SW-Abb., 45 Farbabb.

§16§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. §04§§Understanding the Adversaries.- Adversarial ML for Better Security.- Threats on Networks.§