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Deployable Machine Learning for Security Defense: First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings. 1st ed. 2020
・ISBN 978-3-030-59620-0 paper EUR 74.99
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| 著者・編者 | Wang, Gang / Ciptadi, Arridhana / Ahmadzadeh, Ali (eds.), |
|---|---|
| シリーズ | (Communications in Computer and Information Science) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 165 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-82231> |
解説
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.