Deployable Machine Learning for Security Defense: First International Workshop, Mlhat 2020, San Diego, Ca, Usa, August 24, 2020, Proceedings
暫譯: 可部署的機器學習安全防禦：第一屆國際研討會 Mlhat 2020，聖地牙哥，加州，美國，2020年8月24日，會議紀錄
Wang, Gang, Ciptadi, Arridhana, Ahmadzadeh, Ali
- 出版商: Springer
- 出版日期: 2020-10-18
- 售價: $3,530
- 貴賓價: 9.5 折 $3,354
- 語言: 英文
- 頁數: 165
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030596206
- ISBN-13: 9783030596200
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相關分類:
Machine Learning、資訊安全
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
本書包含了2020年8月舉行的第一屆國際可部署機器學習安全防禦研討會（MLHat 2020）所選擇的論文。由於COVID-19疫情，會議以線上形式舉行。
這8篇完整論文是從13篇合格的投稿中經過徹底審查後選出的。論文按以下主題部分組織：理解對手；用對抗性機器學習提升安全性；網路威脅。
