Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
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.
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.
Kategorien:
Band:
1271
Jahr:
2020
Auflage:
1
Verlag:
Springer
Sprache:
english
Seiten:
172
ISBN 10:
3030596214
ISBN 13:
9783030596217
Serien:
Communications in Computer and Information Science
Datei:
PDF, 20.04 MB
IPFS:
,
english, 2020
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