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Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings: Communications in Computer and Information Science, cartea 1271

Editat de Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
en Limba Engleză Paperback – 18 oct 2020
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.
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Specificații

ISBN-13: 9783030596200
ISBN-10: 3030596206
Pagini: 165
Ilustrații: VII, 165 p. 170 illus., 45 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Understanding the Adversaries.- Adversarial ML for Better Security.- Threats on Networks.