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InfoResearchPeer-reviewed
MaliVD: Source Code Vulnerability Localization via Attention-Based Multi-Modal Learning
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Summary
MaliVD is a vulnerability detection method for source code that uses a multi-modal attention mechanism over sequential, tree-based and graph-based features. It identifies vulnerability types and pinpoints the lines where they are triggered. Compared with eight advanced models across three large datasets, it reports higher F1 scores and localization precision, including a 21.82% F1 improvement on the ReliVul dataset.