4 papers
Struggle with Adversarial Defense? Try Diffusion
Yujie Li, Yanbin Wang, Haitao Xu +4
Adversarial attacks induce misclassification by introducing subtle perturbations. Recently, diffusion models are applied to the image classifiers to improve adversarial robustness…
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…
Fed-urlBERT: Client-side Lightweight Federated Transformers for URL Threat Analysis
Yujie Li, Yanbin Wang, Haitao Xu +4
In evolving cyber landscapes, the detection of malicious URLs calls for cooperation and knowledge sharing across domains. However, collaboration is often hindered by concerns over…
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-…