Deployable Machine Learning for Security Defense First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings
Heftet /
2020
/ Engelsk
Produktdetaljer
ISBN
9783030596200
Publisert
2020-10-18
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
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.
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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This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020.
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions.
The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions.
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<p>Understanding the Adversaries.- Adversarial ML for Better Security.- Threats on Networks.</p>
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Produktdetaljer
ISBN
9783030596200
Publisert
2020-10-18
Utgiver
Vendor
Springer Nature Switzerland AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet