activity
20222024
most citedEnabling AI-Generated Content (AIGC) Services in Wireless Edge Networks

45 citations · 199 across the 67 of their papers we have counts for

collaborators

67 papers

cs.CL2024

Purple-teaming LLMs with Adversarial Defender Training

Jingyan Zhou, Kun Li, Junan Li +4

Existing efforts in safeguarding LLMs are limited in actively exposing the vulnerabilities of the target LLM and readily adapting to newly emerging safety risks. To address this, w…

cs.NI20242 cited

Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion

Yinqiu Liu, Guangyuan Liu, Hongyang Du +5

In the rapidly evolving Next-Generation Networking (NGN) era, the adoption of zero-trust architectures has become increasingly crucial to protect security. However, provisioning ze…

cs.NI2024

Privacy-preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses

Cheng Su, Xiaofeng Luo, Zhenmou Liu +5

The emergence of mobile social metaverses, a novel paradigm bridging physical and virtual realms, has led to the widespread adoption of avatars as digital representations for Socia…

cs.AI2024

Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses

Yongju Tong, Jiawen Kang, Junlong Chen +4

Air-ground integrated networks can relieve communication pressure on ground transportation networks and provide 6G-enabled vehicular Metaverses services offloading in remote areas…

cs.AI2024

Multi-attribute Auction-based Resource Allocation for Twins Migration in Vehicular Metaverses: A GPT-based DRL Approach

Yongju Tong, Junlong Chen, Minrui Xu +5

Vehicular Metaverses are developed to enhance the modern automotive industry with an immersive and safe experience among connected vehicles and roadside infrastructures, e.g., Road…

cs.NI20244 cited

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

Minrui Xu, Dusit Niyato, Jiawen Kang +6

Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, com…