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: 2020-12-03
  • 售價: $2,620
  • 貴賓價: 9.5$2,489
  • 語言: 英文
  • 頁數: 165
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3030596206
  • ISBN-13: 9783030596200
  • 相關分類: Machine Learning 機器學習 資訊安全

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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.

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