activity
20232026
most citedVul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

41 citations · 46 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SE2026

FirmPilot: Evidence-Guided Multi-Agent Environment Recovery for IoT Firmware Rehosting

Yanbing Shen, Fan Zhang, Haitao Xu

Firmware rehosting executes firmware images in emulated environments such as QEMU to enable scalable dynamic analysis of Internet of Things (IoT) devices. In practice, rehosting pi…

cs.CR2025

Bridging Source Code and Bytecode for Smart Contract Vulnerability Detection via Dual-Perspective Cross-Modal Distillation

Ye Tian, Yifan Jia, Yanbin Wang +4

Smart contract vulnerabilities have caused substantial financial losses, yet most deployed contracts are closed-source, forcing detection to operate on bytecode --- which lacks the…

cs.CV2024

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…

cs.CR2024★ 41 cited

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.CR2024

Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and Robust Detection of Cyber Attacks

Zhenyuan Li, Yangyang Wei, Xiangmin Shen +9

Recent research in both academia and industry has validated the effectiveness of provenance graph-based detection for advanced cyber attack detection and investigation. However, an…

cs.CR2023★ 1 cited

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…