Deployable Machine Learning for Security Defense: First International Workshop, Mlhat 2020, San Diego, Ca, Usa, August 24, 2020, Proceedings
Wang, Gang, Ciptadi, Arridhana, Ahmadzadeh, Ali
- 出版商: Springer
- 出版日期: 2020-10-18
- 售價: $3,480
- 貴賓價: 9.5 折 $3,306
- 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)
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.
