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
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| Q325.5 2021 EB Machine Learning | Q325.5 2021 EB Explainable AI with Python | Q325.5 2021 EB Machine Learning Modeling for IoUT Networks : Internet of Underwater Things | Q325.5 2021 EB Deployable Machine Learning for Security Defense : Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings | Q325.5 2021 EB An Introduction to Machine Learning | Q325.5 2021 EB Synthetic Data for Deep Learning | Q325.5 2021 EB Multi-faceted Deep Learning Models and Data |
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.
There are no comments on this title.
Log in to your account to post a comment.