I am deeply interested in automated bug/vulnerability finding techniques such as fuzzing. This is because I believe it is crucial to automatically detect unintended bugs in software or hardware before they can be exploited by malicious attackers. By ensuring that a system behaves exactly as its developer intended, we can build a safer and more trustworthy digital world.
I am also fascinated by computer systems and high-performance computer architecture design. I find great fulfillment in designing systems that can serve as catalysts for solving humanity’s unsolved problems and for creating a better world through technological innovation.
Finally, I have recently become highly interested in AI security, monitoring, and privacy. While many big tech companies are focusing heavily on improving AI performance, I think there has been insufficient attention to the side effects and security risks that accompany such rapid development. Among these, AI security could pose a serious threat to humanity in the near future. Therefore, I aim to contribute to the development and deployment of secure and responsible AI systems.
- M.S. in Information Security, KAIST (2025.09. ~ )
- Advisor : Youngjin Kwon, CASYS Lab
- B.S. in Computer Science, Hanyang University (2021.03. ~ 2025.08.)
- the spot, Seoul, Republic of Korea (2025.01. ~ 2025.02.)
- Vulnerability Researcher (Internship)