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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

secure-learning paradigm

biblio

Visible to the public Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense

Submitted by Katie Dey on Mon, 08/06/2018 - 1:23pm
  • feature manipulations
  • Windows application programming interface calls
  • Windows API calls
  • security regularization term
  • secure-learning paradigm
  • SecDefender
  • portable executable files
  • PE files
  • pattern classification
  • malware detection
  • malware
  • learning-based classifier
  • learning (artificial intelligence)
  • invasive software
  • Adversarial Machine Learning
  • feature extraction
  • Extraction
  • EvnAttack
  • evasion cost
  • evasion attack model
  • Evasion Attack and Defense
  • Data models
  • Data mining
  • computer security
  • Comodo cloud security center
  • classifier retraining technique
  • application program interfaces
  • Cognitive Security
  • Articles of Interest
  • Extraction
  • C3E 2019

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