Canonical URL: [https://www.taislab.co.kr/people/](https://www.taislab.co.kr/people/) # People ## Professor  ### Younghan Lee Younghan Lee is a tenure-track Assistant Professor in the Department of Convergence Security Engineering at Sungshin Women's University. His research connects security of AI with AI for security, spanning model and federated-learning security, privacy, secure code generation, vulnerability detection and repair, and assurance of LLM-based and agentic systems. #### Degree - Ph.D. in Electrical and Computer Engineering, Seoul National University, 2024. Advised by Prof. Yunheung Paek. - BEng in Electrical and Electronic Engineering, Imperial College London, 2016. #### Research Interests - AI security and assurance for LLM-based and agentic systems - Secure code generation, vulnerability detection, and automated repair - Federated-learning and model security - Privacy-preserving and applied AI #### Contacts [](mailto:%32%30%31%79%6F%75%6E%67%68%61%6E%6C%65%65@%67%6D%61%69%6C.%63%6F%6D) [](https://orcid.org/0000-0001-8414-966X) [](https://scholar.google.com/citations?user=6t4qpowAAAAJ) [](https://github.com/201younghanlee) [](https://www.linkedin.com/in/201younghanlee) [](/cv/) ## Undergraduate Researchers Current undergraduate researchers at Sungshin Women's University working on secure and trustworthy AI systems. ### Jeni Lee 이제니 Undergraduate Researcher LLM-based ROS 2 code generation and execution-centred evaluation ### Ayoung Shim 심아영 Undergraduate Researcher Benchmarks and static evaluation for LLM-generated ROS 2 software ### Choyeon Han 한초연 Undergraduate Researcher RAG security and trustworthy LLM systems ### Minju Jang 장민주 Undergraduate Researcher RAG attack–defence evaluation and trustworthy LLM systems