11 citations · 11 across the 7 of their papers we have counts for
8 papers
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
Tenghui Huang, Jinbo Wen, Jiawen Kang +8
Smart contracts play a significant role in automating blockchain services. Nevertheless, vulnerabilities in smart contracts pose serious threats to blockchain security. Currently,…
Confidence-Regulated Generative Diffusion Models for Reliable AI Agent Migration in Vehicular Metaverses
Yingkai Kang, Jiawen Kang, Jinbo Wen +4
Vehicular metaverses are an emerging paradigm that merges intelligent transportation systems with virtual spaces, leveraging advanced digital twin and Artificial Intelligence (AI)…
Achieving Network Resilience through Graph Neural Network-enabled Deep Reinforcement Learning
Xuzeng Li, Tao Zhang, Jian Wang +5
Deep reinforcement learning (DRL) has been widely used in many important tasks of communication networks. In order to improve the perception ability of DRL on the network, some stu…
Generative AI-driven Cross-layer Covert Communication: Fundamentals, Framework and Case Study
Tianhao Liu, Jiqiang Liu, Tao Zhang +5
Ensuring end-to-end cross-layer communication security in military networks by selecting covert schemes between nodes is a key solution for military communication security. With th…
Defending Against Network Attacks for Secure AI Agent Migration in Vehicular Metaverses
Xinru Wen, Jinbo Wen, Ming Xiao +5
Vehicular metaverses, blending traditional vehicular networks with metaverse technology, are expected to revolutionize fields such as autonomous driving. As virtual intelligent ass…
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach
Jian Liu, Ming Xiao, Jinbo Wen +6
Mobile Artificial Intelligence-Generated Content (AIGC) networks enable massive users to obtain customized content generation services. However, users still need to download a larg…
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses
Yingkai Kang, Jinbo Wen, Jiawen Kang +5
The vehicular metaverse is envisioned as a blended immersive domain that promises to bring revolutionary changes to the automotive industry. As a core component of vehicular metave…
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
Bingkun Lai, Jiayi He, Jiawen Kang +4
Generative Artificial Intelligence (GAI) shows remarkable productivity and creativity in Mobile Edge Networks, such as the metaverse and the Industrial Internet of Things. Federate…