Deployable Machine Learning for Security Defense First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings /

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 sub...

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Corporate Author: SpringerLink (Online service)
Other Authors: Wang, Gang. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ciptadi, Arridhana. (Editor, http://id.loc.gov/vocabulary/relators/edt), Ahmadzadeh, Ali. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Communications in Computer and Information Science, 1271
Subjects:
Online Access:https://doi.org/10.1007/978-3-030-59621-7
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490 1 |a Communications in Computer and Information Science,  |x 1865-0929 ;  |v 1271 
505 0 |a Understanding the Adversaries -- Adversarial ML for Better Security -- Threats on Networks. 
520 |a 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. 
650 0 |a Computers. 
650 0 |a Computer security. 
650 0 |a Computer crimes. 
650 0 |a Artificial intelligence. 
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650 2 4 |a Computer Communication Networks.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I13022 
650 2 4 |a Information Systems Applications (incl. Internet).  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I18040 
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700 1 |a Ahmadzadeh, Ali.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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