Safe Artificial Intelligence Lab.
Career History
- 2013 : B.S. Industrial Engineering, Seoul National University
- 2018 : Ph.D. Industrial Engineering, Seoul National University
- 2018-2019: Industrial and Mathematical Data Analytics Research Center (IMDARC), Seoul National University
- 2019-2023: Assistant Professor, Sungshin Women’s University
- 2022-2024: The 6-th Presidential Council on Intellectual Property in Korea
- 2023-2024: Advisory Committee of Korea Information System of Criminal-justice Services, Ministry of Justice
- 2024-2026: The 7-th Presidential Council on Intellectual Property in Korea
- 2023-present: Advisory Committee of Data Mediation, Ministry of Science and ICT
- 2023-present: Assistant Professor, UNIST
Intro
Safe AI Lab specializes the intersection of security and ethics, specifically addressing privacy-preserving machine learning, fairness certification, and adversarial robustness. We investigate the inherent vulnerabilities of modern AI systems to develop systemic defenses. Our core initiatives include stability analysis, robust training against various adversaries, and the implementation of advanced encryption frameworks to ensure data privacy
Research Field
Privacy-preserving Machine Learning (PPML), Fairness-aware Machine Learning, Adversarial Machine Learning