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joern

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VISION is a framework for robust and interpretable code vulnerability detection using counterfactual data augmentation. It leverages GNNs, LLM-generated counterfactuals, and graph-based explainability to mitigate spurious correlations and improve generalization on real-world vulnerabilities (CWE-20).

  • Updated Oct 19, 2025
  • Jupyter Notebook

An advanced AI-driven SAST engine that utilizes Tree-sitter for AST parsing, Microsoft CodeBERT for semantic featurization, and PyTorch Geometric GCNs for static code vulnerability detection, paired with a local DeepSeek LLM triage assistant loop.

  • Updated Jul 16, 2026
  • Python

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