Machine learning for cyber security : 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022, proceedings. Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li (eds.). Part I /

The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 24, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were...

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Bibliographic Details
Corporate Author: International Conference on Machine Learning for Cyber Security Guangzhou, China
Other Authors: Xu, Yuan (Editor), Yan, Hongyang (Editor), Teng, Huang (Editor), Cai, Jun (Editor), Li, Jin (Computer scientist) (Editor)
Format: Ebook
Language:English
Published: Cham : Springer, [2023]
Series:Lecture notes in computer science ; 13655.
Subjects:
Online Access:Springer eBooks
Description
Summary:The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereed proceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 24, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions.
Item Description:Selected conference papers.
Includes author index.
Physical Description:1 online resource (xxix, 669 pages) : illustrations (chiefly colour).
ISBN:3031200950
9783031200953
3031200969
9783031200960
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