2 citations · 2 across the 8 of their papers we have counts for
8 papers
RANPilot: Making AI Functionalities Robust to Dynamic O-RAN Reconfigurations
Shiming Yu, Leming Shen, Jianing Zhang +4
The Open Radio Access Network (O-RAN) promises unprecedented flexibility through its reconfigurable architecture and AI-driven control. However, this agility exposes a critical fra…
AutORAN: LLM-driven Natural Language Programming for Agile xApp Development
Xin Li, Shiming Yu, Leming Shen +3
Traditional RAN systems are closed and monolithic, stifling innovation. The openness and programmability enabled by Open Radio Access Network (O-RAN) are envisioned to revolutioniz…
Jailbreaking Embodied LLMs via Action-level Manipulation
Xinyu Huang, Qiang Yang, Leming Shen +2
Embodied Large Language Models (LLMs) enable AI agents to interact with the physical world through natural language instructions and actions. However, beyond the language-level ris…
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
Xinyu Huang, Leming Shen, Zijing Ma +1
Large Language Models (LLMs) have showcased remarkable generalizability in language comprehension and hold significant potential to revolutionize human-computer interaction in smar…
TEMPEST-LoRa: Cross-Technology Covert Communication
Xieyang Sun, Yuanqing Zheng, Wei Xi +5
Electromagnetic (EM) covert channels pose significant threats to computer and communications security in air-gapped networks. Previous works exploit EM radiation from various compo…
AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
Leming Shen, Qiang Yang, Yuanqing Zheng +1
The advent of Large Language Models (LLMs) has profoundly transformed our lives, revolutionizing interactions with AI and lowering the barrier to AI usage. While LLMs are primarily…