1 option
Deployable Machine Learning for Security Defense : Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings / edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1482
- Communications in Computer and Information Science, 1865-0937 ; 1482
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Computing Milieux.
- Computer Application in Social and Behavioral Sciences.
- Data and Information Security.
- Computer and Information Systems Applications.
- Machine Learning.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (VII, 157 pages) : 42 illustrations, 32 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-87839-9
- 9783030878399
- Access Restriction:
- Restricted for use by site license.
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