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Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings: 1482 … in Computer and Information Science, 1482) 1st ed. 2021 Edition
Author(s): Gang Wang (Editor), Arridhana Ciptadi (Editor), Ali Ahmadzadeh (Editor)
- Publisher: Springer
- Publication Date: 25 Sept. 2021
- Edition: 1st ed. 2021
- Language: English
- Print length: 164 pages
- ISBN-10: 3030878384
- ISBN-13: 9783030878382
Book Description
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.
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.
