Computing and Information Technology, General Topics
Deployable Machine Learning for Security Defense : First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Deployable Machine Learning for Security Defense : First International Workshop, MLHat 2020, San Diego, CA, USA, August 24, 2020, Proceedings

Paperback Published on: 18/10/2020
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Synopsis

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.

Publisher information

  • Publisher: Springer International Publishing
  • ISBN: 9783030596200
  • Number of pages: 165
  • Dimensions: 235 x 155 x 10 mm
  • Weight: 254g
  • Languages: English