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InfoResearchPeer-reviewed

Clara: A Cross-Modal Learning Framework for Enhanced Vulnerability Detection

Source
IEEE Xplore (Security & AI Journals)(opens in a new tab)
Published
Record updated

Summary

Clara is a cross-modal learning framework for software vulnerability detection that combines code sequences and code graphs, using large language models and graph neural networks. It adds a prompt-guided information interaction module for local fusion and a Cross-attention Adaptive Fusion module for global fusion. On two benchmark datasets it improves F1 score by 21.37% and 11.86% over state-of-the-art vulnerability detection methods.