84 citations · 171 across the 11 of their papers we have counts for
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cs.CR2024★ 77 cited
Finetuning Large Language Models for Vulnerability Detection
Alexey Shestov, Rodion Levichev, Ravil Mussabayev +3
This paper presents the results of finetuning large language models (LLMs) for the task of detecting vulnerabilities in source code. We leverage WizardCoder, a recent improvement o…
cs.CR2023
Structure-Aware Code Vulnerability Analysis With Graph Neural Networks
Ravil Mussabayev
This study explores the effectiveness of graph neural networks (GNNs) for vulnerability detection in software code, utilizing a real-world dataset of Java vulnerability-fixing comm…