Optimization to the Rescue: Evading Binary Code Stylometry with Adversarial Use of Code Optimizations

Ben Jacobsen, Sazzadur Rahaman, Saumya Debray

Original languageEnglish (US)
Title of host publicationCheckMate 2021 - Proceedings of the 2021 Research on Offensive and Defensive Techniques in the Context of Man At The End (MATE) Attacks, co-located with CCS 2021
PublisherAssociation for Computing Machinery, Inc
Pages1-10
Number of pages10
ISBN (Electronic)9781450385527
DOIs
StatePublished - Nov 19 2021
Event2021 Workshop on Research on Offensive and Defensive Techniques in the Context of Man At The End (MATE) Attacks, CheckMate 2021 - Virtual, Online, Korea, Republic of
Duration: Nov 19 2021 → …

Publication series

NameCheckMate 2021 - Proceedings of the 2021 Research on Offensive and Defensive Techniques in the Context of Man At The End (MATE) Attacks, co-located with CCS 2021

Conference

Conference2021 Workshop on Research on Offensive and Defensive Techniques in the Context of Man At The End (MATE) Attacks, CheckMate 2021
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period11/19/21 → …

Keywords

  • Adversarial machine learning
  • Bayesian optimization
  • Privacy
  • Stylometry

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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