HiveAI
Building an End-to-end Program Analysis Framework for LLM-powered Services
HiveAI is a project focused on developing an end-to-end program analysis framework for mobile applications powered by large language models (LLMs). The framework will analyze both source code and runtime behaviour to identify security vulnerabilities unique to LLM-integrated apps. Beyond security, it also aims to enhance performance and user experience by optimizing memory usage and reducing energy consumption on mobile devices.
Team member(s)
Dr Ni Tao* (Postdoc , Department of Computer Science, City University of Hong Kong)
Miss Zhou Yihe (Research Assistant, Department of Computer Science, City University of Hong Kong)
Miss Wang Jiayimei (Master, Department of Computer Science, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Miss Zhou Yihe (Research Assistant, Department of Computer Science, City University of Hong Kong)
Miss Wang Jiayimei (Master, Department of Computer Science, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2024)
- Asian Student Symposium on Emerging Technologies (ASSET) (People's Choice ASSET Poster Award) (2024)