Deployable Machine Learning for Security Defense is popular PDF and ePub book, written by Gang Wang in 2020-10-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Deployable Machine Learning for Security Defense can be Read Online from any device for your convenience.
Deployable Machine Learning for Security Defense Book PDF Summary
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.
Detail Book of Deployable Machine Learning for Security Defense PDF
- Author : Gang Wang
- Release : 17 October 2020
- Publisher : Springer Nature
- ISBN : 9783030596217
- Genre : Computers
- Total Page : 165 pages
- Language : English
- PDF File Size : 15,8 Mb
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