Finetuning Large Language Models for Vulnerability Detection

Finetuning Large Language Models for Vulnerability Detection

This paper presents the results of finetuning large language models (LLMs) for the task of detecting vulnerabilities in Java source code. We leverage WizardCoder, a recent improvement of the state-of-the-art LLM StarCoder, and adapt it for vulnerability detection through further finetuning. To accel...

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Main Authors: Aleksei Shestov, Rodion Levichev, Ravil Mussabayev, Evgeny Maslov, Pavel Zadorozhny, Anton Cheshkov, Rustam Mussabayev, Alymzhan Toleu, Gulmira Tolegen, Alexander Krassovitskiy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Large language models
vulnerability detection
cybersecurity
finetuning
StarCoder
WizardCoder
Online Access:https://ieeexplore.ieee.org/document/10908394/
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https://ieeexplore.ieee.org/document/10908394/

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