Youngjoon Kim
Postdoctoral Researcher, SSLab, School of Cybersecurity and Privacy, Georgia Tech · Security Researcher at Team Atlanta (AIxCC Winner)
I am a postdoctoral researcher at SSLab, School of Cybersecurity and Privacy, Georgia Tech, working with Professor Taesoo Kim. My research focuses on AI-driven automated vulnerability discovery and repair via Cyber Reasoning Systems (CRS), combining LLMs with program analysis techniques.
As a member of Team Atlanta, I won 1st place in the DARPA AI Cyber Challenge (AIxCC) Finals, where our CRS found 43 vulnerabilities including 6 zero-days. I am currently a main contributor to OSS-CRS.
I received my Ph.D. in Information Security from Korea University under the supervision of Professor Jiwon Yoon (Thesis: AI-Driven Automated Vulnerability Discovery and Repair). Previously, I served as a captain in the R.O.K. Army, working at the Agency for Defense Development (ADD) and the R.O.K. Cyber Operations Command, gaining experience in both security research and security engineering.
My main research interest is LLM agent-based offensive security. More broadly, my interests include fuzzing, automated program repair, LLM-based security analysis, and offensive security.
News
| Jun 2026 | Our paper CtxFuzz was accepted to ASE 2026! |
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| May 2026 | Our paper SoK: DARPA’s AI Cyber Challenge was accepted to USENIX Security 2026! |
| Apr 2026 | Our paper OSS-CRS was accepted to USENIX WOOT 2026! |
| Aug 2025 | Team Atlanta won 1st place in the DARPA AI Cyber Challenge (AIxCC) Finals! Our CRS found 43 vulnerabilities including 6 zero-days. |
| May 2025 | Our paper “Logs In, Patches Out: Automated Vulnerability Repair via Tree-of-Thought LLM Analysis” was accepted to USENIX Security 2025! |
Publications
- ASECtxFuzz: Context-Aware Directed Fuzzing via Runtime Fuzzer–Agent CooperationIn IEEE/ACM International Conference on Automated Software Engineering (ASE 26). To appear , 2026