Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings (1st ed. 2020) (Communications in Computer and Information Science #1271)
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- Synopsis
- This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions. The papers are organized in the following topical sections: understanding the adversaries; adversarial ML for better security; threats on networks.
- Copyright:
- 2020
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030596217
- Related ISBNs:
- 9783030596200
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/18/20
- Copyrighted By:
- Springer
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Sociology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Gang Wang
- Edited by:
- Arridhana Ciptadi
- Edited by:
- Ali Ahmadzadeh
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- by Gang Wang
- by Arridhana Ciptadi
- by Ali Ahmadzadeh
- in Nonfiction
- in Computers and Internet
- in Sociology