Advancing Trustworthy AI, Explainable AI & Biomedical AI
We build robust, interpretable and secure machine-learning systems — defending AI against adversarial threats and advancing biomedical discovery at Sungkyunkwan University, South Korea.
Security & Adversarial ML
Defending AI against adversarial attacks, malware, binary analysis, and exploitation of interpretability mechanisms.
ExploreBiomedical AI
Deep learning for medical imaging, Alzheimer's detection, and multimodal clinical prediction.
ExploreTrustworthy & Explainable AI
Transparent, interpretable and robust AI for healthcare, finance and security.
Explore Featured Publication NDSS 2026 A Deep Dive into Function Inlining and its Security Implications for ML-based Binary Analysis View PaperActivity Stream
All news →Join the Lab
We're looking for curious minds in trustworthy, secure and biomedical AI.
Open Positions
Our Publications
A great way to explore our work is through our publications. Browse or search our full list of research outputs to learn more about what we do.
Our Team
Our team includes graduate students, postdoctoral researchers, and researchers, with diverse backgrounds in computer science, AI, cybersecurity, and biomedical informatics. Come meet the people behind the research!
Our funders
