Publications

Security Software Engineering Machine Learning

Conference Papers

  1. ASE
    CtxFuzz: Context-Aware Directed Fuzzing via Runtime Fuzzer–Agent Cooperation
    Jiho Kim, Dongkwan Kim, HyungSeok Han, and 6 more authors
    In IEEE/ACM International Conference on Automated Software Engineering (ASE 26). To appear , 2026
  2. SEC
    SoK: DARPA’s AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned
    Cen Zhang, Younggi Park, Fabian Fleischer, and 18 more authors
    In 35th USENIX Security Symposium (USENIX Security 26). To appear , 2026
  3. WOOT
    OSS-CRS: Liberating AIxCC Cyber Reasoning Systems for Real-World Open-Source Security
    Andrew Chin, Dongkwan Kim, Yu-Fu Fu, and 7 more authors
    In 20th USENIX WOOT Conference on Offensive Technologies (WOOT 26). To appear , 2026
  4. SEC
    Logs In, Patches Out: Automated Vulnerability Repair via Tree-of-Thought LLM Analysis
    Youngjoon Kim, Sunguk Shin, Hyoungshick Kim, and 1 more author
    In 34th USENIX Security Symposium (USENIX Security 25). Hyoungshick Kim and Jiwon Yoon are corresponding authors , 2025
  5. ICLR
    Enhancing Graph of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control
    Sunguk Shin and Youngjoon Kim
    In International Conference on Learning Representations (ICLR). Youngjoon Kim is the corresponding author , 2025
  6. RAID
    SCVMON: Data-oriented attack recovery for RVs based on safety-critical variable monitoring
    Sangbin Park, Youngjoon Kim, and Donghoon Lee
    In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2023

Journal Articles

  1. IEEE Access
    BAN: Predicting APT Attack Based on Bayesian Network With MITRE ATT&CK Framework
    Youngjoon Kim, Insup Lee, Hyuk Kwon, and 2 more authors
    IEEE Access, 2023
  2. PRL
    A new approach to training more interpretable model with additional segmentation
    Sunguk Shin, Youngjoon Kim, and Jiwon Yoon
    Pattern Recognition Letters, 2021
  3. Electronics
    MaxAFL: Maximizing code coverage with a gradient-based optimization technique
    Youngjoon Kim and Jiwon Yoon
    Electronics, 2020

Preprints

  1. arXiv
    ATLANTIS: AI-driven Threat Localization, Analysis, and Triage Intelligence System
    Taesoo Kim and others
    2025