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Deployable Machine Learning for Security Defense

Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1482)

Included in the following conference series:

Conference proceedings info: MLHat 2021.

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Table of contents (6 papers)

  1. Machine Learning for Security

  2. Malware Attack and Defense

Other volumes

  1. Deployable Machine Learning for Security Defense

Keywords

About this book

This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. 

The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

Editors and Affiliations

  • University of Illinois at Urbana-Champaign, Urbana, USA

    Gang Wang

  • Truera Inc., Redwood City, USA

    Arridhana Ciptadi

  • Blue Hexagon Inc., Sunnyvale, USA

    Ali Ahmadzadeh

Bibliographic Information

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