SecuGuard: Leveraging pattern-exploiting training in language models for advanced software vulnerability detection
Identifying vulnerabilities within source code remains paramount in assuring software quality and security. This study introduces a refined semi-supervised learning methodology that capitalizes on pattern-exploiting training coupled with cloze-style interrogation techniques. The research strategy em...
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| Veröffentlicht in: | International Journal of Mathematics and Computer in Engineering 2024-06 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Online-Zugang: | Volltext |
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