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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

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Visible to the public Learning to Identify Security-Related Issues Using Convolutional Neural Networks

Submitted by aekwall on Mon, 02/10/2020 - 12:10pm
  • open source issues
  • Semantics
  • user interfaces
  • agile development practices
  • aid development teams
  • CNN
  • high dimensional word embeddings
  • issue descriptions
  • Man-machine systems
  • natural language descriptions
  • security issues
  • robust security assurance
  • SDL
  • security-focused automation
  • security-related content
  • security-related requirements
  • software products
  • two-phase neural net architecture
  • vulnerability descriptions
  • software assurance
  • convolutional neural network
  • security
  • Kernel
  • computer architecture
  • learning (artificial intelligence)
  • pubcrawl
  • composability
  • deep learning
  • Databases
  • convolutional neural nets
  • security of data
  • Companies
  • ontologies (artificial intelligence)
  • Data mining
  • public domain software
  • software security
  • Scalability
  • software quality
  • Human Factors

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