UID:
almahu_9948609796202882
Umfang:
XV, 608 p. 246 illus., 181 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2020.
ISBN:
9783030624606
Serie:
Security and Cryptology ; 12487
Inhalt:
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi'an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Anmerkung:
Machine learning -- Security. Privacy-preserving -- Cyber security -- Adversarial machine Learning -- Malware detection and analysis -- Data mining -- AI.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030624590
Weitere Ausg.:
Printed edition: ISBN 9783030624613
Sprache:
Englisch
DOI:
10.1007/978-3-030-62460-6
URL:
https://doi.org/10.1007/978-3-030-62460-6
