Machine Learning for Cyber Security : third international conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020 : proceedings. Part II /

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Bibliographic Details
Meeting name:	ML4CS (Conference) (3rd : 2020 : Guangzhou, China)
Imprint:	Cham : Springer, [2020]
Description:	1 online resource (xv, 608 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in computer science ; 12487 LNCS sublibrary: SL4. Security and cryptology Lecture notes in computer science ; 12487. LNCS sublibrary. SL 4, Security and cryptology.
Subject:	Machine learning -- Congresses. Computer security -- Congresses. Internet -- Security measures -- Congresses. Computer security. Application software. Education -- Data processing. Computers. Data encryption (Computer science) Computer networks -- Security measures. Machine learning. Internet -- Security measures. Application software. Computer networks -- Security measures. Computer security. Computers. Data encryption (Computer science) Education -- Data processing. Conference papers and proceedings. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12610311

Hidden Bibliographic Details
Varying Form of Title:	ML4CS 2020
Other authors / contributors:	Chen, Xiaofeng, 1976- editor. Yan, Hongyang, editor. Yan, Qiben, editor. Zhang, Xiangliang, editor.
ISBN:	9783030624606 3030624609 9783030624590
Digital file characteristics:	text file PDF
Notes:	International conference proceedings. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed January 25, 2021).
Summary:	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.
Other form:	3030624595
Standard no.:	10.1007/978-3-030-62460-6

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