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Author MLHat (Workshop) (1st : 2020 : Online)
Title Deployable machine learning for security defense [electronic resource] : first International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020 : proceedings / edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
Imprint Cham : Springer International Publishing : Imprint: Springer, 2020
book jacket
Descript vii, 165 p. : ill., digital ; 24 cm
Series Communications in computer and information science, 1865-0929 ; 1271
Communications in computer and information science ; 1271
Note Understanding the Adversaries -- Adversarial ML for Better Security -- Threats on Networks
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
Host Item Springer Nature eBook
Subject Machine learning -- Congresses
Computer security -- Congresses
Computing Milieux
Systems and Data Security
Computer Crime
Artificial Intelligence
Computer Communication Networks
Information Systems Applications (incl. Internet)
Alt Author Wang, Gang
Ciptadi, Arridhana
Ahmadzadeh, Ali
SpringerLink (Online service)
Alt Title MLHat 2020
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