45 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.AR2024★ 45 cited
LLM4SecHW: Leveraging Domain Specific Large Language Model for Hardware Debugging
Weimin Fu, Kaichen Yang, Raj Gautam Dutta +2
This paper presents LLM4SecHW, a novel framework for hardware debugging that leverages domain specific Large Language Model (LLM). Despite the success of LLMs in automating various…
cs.CL2024
Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge
Weimin Fu, Shijie Li, Yifang Zhao +6
In the rapidly evolving semiconductor industry, where research, design, verification, and manufacturing are intricately linked, the potential of Large Language Models to revolution…
eess.SY2020
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos +4
Over the last decade, the number of cyberattacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, False Data Injection Attacks (…