Research graph
References from DOR-vul: Cross-modal reasoning distillation for efficient vulnerability recognition. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
“A systematic literature review on automated software vulnerability detection using machine learning
10.1145/3699711 · 2024 · External reference
Unresolved reference
External reference
“Automated vulnerability detection in source code using deep representation learning
2018 · External reference
“Devign: effective vulnerability identification by learning comprehensive program semantics via graph neural networks
2019 · External reference
Deep learning based vulnerability detection: are we there yet?
10.1109/tse.2021.3087402 · 2021 · External reference
“Syntax-aware hierarchical attention networks for code vulnerability detection
2026 · External reference
Unresolved reference
External reference
Vulnerability detection with code language models: how far are we?
2025 · External reference
Unresolved reference
External reference
“Enhancing vulnerability detection by fusing code semantic features with LLM-generated explanations
10.1016/j.inffus.2025.103450 · 2026 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
“Distilling step-by-step! Outperforming larger language models with less training data and smaller model sizes
2023 · External reference
“CodeT5+: open code large language models for code understanding and generation
2023 · External reference
“LineVul: a transformer-based line-level vulnerability prediction
2022 · External reference
“HardVD: high-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection
10.1016/j.ins.2024.121370 · 2025 · External reference
“GraphFVD: property graph-based fine-grained vulnerability detection
10.1016/j.cose.2025.104350 · 2025 · External reference
HeVulD: a static vulnerability detection method using heterogeneous graph code representation
10.1109/tifs.2024.3457162 · 2024 · External reference
“Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming
10.1016/j.jss.2025.112365 · 2025 · External reference
“TMF-Net: multimodal smart contract vulnerability detection based on multiscale transformer fusion
10.1016/j.inffus.2025.103189 · 2025 · External reference
“CEGT: smart contract vulnerability detection via connectivity-enhanced GCN-transformer
10.1016/j.jss.2025.112454 · 2025 · External reference
“KAID: knowledge-aware interactive distillation for vision-language models
2025 · External reference
“SVGen: interpretable vector graphics generation with large language models
2025 · External reference
“GRACE: empowering LLM-based software vulnerability detection with graph structure and in-context learning
10.1016/j.jss.2024.112031 · 2024 · External reference
“Vulnerability detection with fine-grained interpretations
2021 · External reference
“Graph neural networks for vulnerability detection: a counterfactual explanation
2024 · External reference
“Beyond fidelity: explaining vulnerability localization of learning-based detectors
2024 · External reference
“Toward understanding privileged features distillation in learning-to-rank
2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
μvuldeepecker: a deep learning-based system for multiclass vulnerability detection
2019 · External reference
“VulCNN: an image-inspired scalable vulnerability detection system
2022 · External reference
“SySeVR: a framework for using deep learning to detect software vulnerabilities
10.1109/tdsc.2021.3051525 · 2021 · External reference
Unresolved reference
External reference
“Vulnerability detection by learning from syntax-based execution paths of code
10.1109/tse.2023.3286586 · 2023 · External reference
“Enhancing vulnerability detection via ast decomposition and neural sub-tree encoding
10.1016/j.eswa.2023.121865 · 2024 · External reference
“GraphFVD: property graph-based fine-grained vulnerability detection
10.1016/j.cose.2025.104350 · ExternalCitation · doi-reference
“Enhancing vulnerability detection via ast decomposition and neural sub-tree encoding
10.1016/j.eswa.2023.121865 · ExternalCitation · doi-reference
“TMF-Net: multimodal smart contract vulnerability detection based on multiscale transformer fusion
10.1016/j.inffus.2025.103189 · ExternalCitation · doi-reference
“Enhancing vulnerability detection by fusing code semantic features with LLM-generated explanations
10.1016/j.inffus.2025.103450 · ExternalCitation · doi-reference
“HardVD: high-capacity cross-modal adversarial reprogramming for data-efficient vulnerability detection
10.1016/j.ins.2024.121370 · ExternalCitation · doi-reference
“GRACE: empowering LLM-based software vulnerability detection with graph structure and in-context learning
10.1016/j.jss.2024.112031 · ExternalCitation · doi-reference
“Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming
10.1016/j.jss.2025.112365 · ExternalCitation · doi-reference
“CEGT: smart contract vulnerability detection via connectivity-enhanced GCN-transformer
10.1016/j.jss.2025.112454 · ExternalCitation · doi-reference
“SySeVR: a framework for using deep learning to detect software vulnerabilities
10.1109/tdsc.2021.3051525 · ExternalCitation · doi-reference
HeVulD: a static vulnerability detection method using heterogeneous graph code representation
10.1109/tifs.2024.3457162 · ExternalCitation · doi-reference
Deep learning based vulnerability detection: are we there yet?
10.1109/tse.2021.3087402 · ExternalCitation · doi-reference
“Vulnerability detection by learning from syntax-based execution paths of code
10.1109/tse.2023.3286586 · ExternalCitation · doi-reference
“A systematic literature review on automated software vulnerability detection using machine learning
10.1145/3699711 · ExternalCitation · doi-reference
