DCVD performs joint function-level vulnerability detection and statement-level localization by extracting control-dependency and semantic features in parallel branches, fusing them with contrastive alignment and bidirectional cross-attention, and applying explicit supervision at both granularities.
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VulTriage combines control dependency extraction, CWE knowledge retrieval, and semantic summarization to improve LLM accuracy on vulnerability detection, reaching SOTA on PrimeVul and generalizing to Kotlin.
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DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
DCVD performs joint function-level vulnerability detection and statement-level localization by extracting control-dependency and semantic features in parallel branches, fusing them with contrastive alignment and bidirectional cross-attention, and applying explicit supervision at both granularities.
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VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection
VulTriage combines control dependency extraction, CWE knowledge retrieval, and semantic summarization to improve LLM accuracy on vulnerability detection, reaching SOTA on PrimeVul and generalizing to Kotlin.