3 papers
cs.CR2025
Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection
Ruitong Liu, Yanbin Wang, Haitao Xu +4
Code Language Models (codeLMs) and Graph Neural Networks (GNNs) are widely used in code vulnerability detection. However, GNNs often rely on aggregating information from adjacent n…
cs.CR2025
TransURL: Improving malicious URL detection with multi-layer Transformer encoding and multi-scale pyramid features
Ruitong Liu, Yanbin Wang, Zhenhao Guo +4
Machine learning progress is advancing the detection of malicious URLs. However, advanced Transformers applied to URLs face difficulties in extracting local information, character-…
cs.CR2025
PMANet: Malicious URL detection via post-trained language model guided multi-level feature attention network
Ruitong Liu, Yanbin Wang, Haitao Xu +4
The proliferation of malicious URLs has made their detection crucial for enhancing network security. While pre-trained language models offer promise, existing methods struggle with…