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Deployable Machine Learning for Security Defense Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings / [electronic resource] : edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh. - 1st ed. 2021. - VII, 157 p. 42 illus., 32 illus. in color. online resource. - Communications in Computer and Information Science, 1482 1865-0937 ; . - Communications in Computer and Information Science, 1482 .

This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

ISBN: 9783030878399

Standard No.: 10.1007/978-3-030-87839-9 doi

Subjects--Topical Terms:
Computers.
Social sciences--Data processing.
Data protection.
Application software.
Machine learning.
Computer networks .
Computing Milieux.
Computer Application in Social and Behavioral Sciences.
Data and Information Security.
Computer and Information Systems Applications.
Machine Learning.
Computer Communication Networks.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 004