Deployable Machine Learning for Security Defense : Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings / edited by Gang Wang, Arridhana Ciptadi, Ali Ahmadzadeh
Contributor(s): Wang, Gang, editor literario | Ciptadi, Arridhana, editor literario
Material type:
E-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1482); (Computer Science (SpringerNature-11645)); (Computer Science (R0) (SpringerNature-43710)).Publisher: Cham : Springer International Publising, 2021Edition: First edition 2021.Description: 1 recurso en línea (VII, 157 páginas) : 42 ilustraciones, 32 ilustraciones a color.ISBN: 9783030878399.Subject: Aprendizaje automático -- Congresos y asambleas
| Seguridad informática -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q325.5 2021 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.19122199 |
Total holds: 0
This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.
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