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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

nonlinear classifiers

biblio

Visible to the public Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers

Submitted by Katie Dey on Mon, 08/06/2018 - 1:24pm
  • malicious apps
  • user devices
  • Training data
  • Training
  • Support vector machines
  • statistical analysis
  • smart phones
  • regression analysis
  • Random Forest
  • nonlinear classifiers
  • neural network
  • neural nets
  • malware
  • adversarial evasion attacks
  • machine learning
  • logistic regression
  • linear classifiers
  • learning (artificial intelligence)
  • invasive software
  • Humanoid robots
  • feature extraction
  • Androids
  • Android-based devices
  • Android Malware Detection
  • android malware classifiers
  • Extraction

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