Canonical URL: [https://www.taislab.co.kr/about/](https://www.taislab.co.kr/about/) # About About the Trust AI & Security Lab at Sungshin Women's University. Trust AI & Security Lab (TAIS Lab) is an academic research group in the Department of Convergence Security Engineering at Sungshin Women’s University in Seoul, Republic of Korea. The lab is led by Younghan Lee, a tenure-track Assistant Professor whose research examines the security and assurance of artificial-intelligence systems and the use of language models in software security. Our work is organised around two connected directions. **LLM4SEC** investigates how large language models can support vulnerability detection, automated vulnerability repair, secure code generation, and kernel-code fault localisation. **SEC4LLM & AI/ML Security** studies the security of retrieval-augmented generation, tool-using and embodied agents, federated learning, and other AI/ML systems. Across both directions, we evaluate systems against explicit threat models and functional or security requirements rather than relying on model accuracy alone. This website is the lab’s public academic record. The [research page](/research/) describes current themes, the [publications pages](/publications/) distinguish international and domestic outputs and identify publication status, and the [people page](/people/) lists the professor and current student researchers. The [teaching page](/teaching/) records university teaching and curriculum development. For a concise account of Younghan Lee’s appointments, education, selected work, service, and intellectual property, see the [academic CV](/cv/). TAIS Lab welcomes research conversations where its expertise is directly relevant, especially work on secure software engineering with language models, LLM and agent security, and federated-learning security. Contact and source-verification guidance is available on the [contact page](/contact/).