Transfer learning framework detects software vulnerabilities across programming languages
Researchers report that a transfer learning framework called TL-CDVD reached an average accuracy of 88.8 percent and an F1-score of ...
Researchers report that a transfer learning framework called TL-CDVD reached an average accuracy of 88.8 percent and an F1-score of ...
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
A controlled benchmark of four pre-trained transformer models on the Devign dataset found CodeBERT achieved the highest mean accuracy, precision, ...
Researchers have developed a domain-adversarial deep learning method that captures contextual code semantics and aligns data distributions across projects, improving ...
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© 2025 Scienmag - Science Magazine