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Deployable Machine Learning for Security Defense: First International Workshop, Mlhat 2020, San Diego, Ca, Usa, August 24, 2020, Proceedings
Paperback
Series: Communications in Computer and Information Science, Book 1271
General ComputersComputer Security
ISBN13: 9783030596200
Publisher: Springer Nature
Published: Oct 18 2020
Pages: 165
Weight: 0.56
Height: 0.38 Width: 6.14 Depth: 9.21
Language: English
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.
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