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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

challenging malware classification datasets

biblio

Visible to the public Malware Classification with Deep Convolutional Neural Networks

Submitted by grigby1 on Mon, 06/10/2019 - 2:01pm
  • learning (artificial intelligence)
  • Support vector machines
  • Resiliency
  • resilience
  • pubcrawl
  • privacy
  • Microsoft malware
  • Metrics
  • malware classification
  • malware binaries
  • malware
  • Malimg malware
  • machine learning approaches
  • machine learning
  • Learning systems
  • challenging malware classification datasets
  • invasive software
  • image classification
  • Human behavior
  • grayscale images
  • Gray-scale
  • feedforward neural nets
  • deep learning framework
  • deep learning approach
  • deep learning
  • deep convolutional neural networks
  • convolutional neural networks
  • convolution
  • computer architecture
  • CNN

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