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ORCIDYoungjoon Kim 0001
Person information
- affiliation: Korea University, School of Cybersecurity, Seoul, Korea
- affiliation: Agency for Defense Development, Cyber Technology Center, Seoul, Korea
Other persons with the same name
- Youngjoon Kim (aka: Young-Joon Kim, Young Joon Kim) — disambiguation page
- Youngjoon Kim 0002
![[0000-0003-4176-1116]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4176-1116")
— University of Tokyo, Department of Urban Engineering, Japan - Youngjoon Kim 0003 (aka: Young-Joon Kim 0003) — Gachon University, Department of Electronic Engineering, Seongnam, Korea (and 2 more)
- Youngjoon Kim 0004 (aka: Young-joon Kim 0004, Young-Joon Kim 0004) — Samsung Electronics, Co., Ltd. (and 1 more)
- Youngjoon Kim 0005 (aka: Young Joon Kim 0005, Young-Joon Kim 0005) — BIT Computer Company Limited, Technical Laboratory, Seoul, Korea
- Youngjoon Kim 0006 (aka: YoungJoon Kim 0006) — NAVER/LINE Vision (and 1 more)
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2020 – today
- 2025
[c3]Sunguk Shin, Youngjoon Kim:
Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control. ICLR 2025- [c2]Youngjoon Kim, Sunguk Shin, Hyoungshick Kim, Jiwon Yoon:
Logs In, Patches Out: Automated Vulnerability Repair via Tree-of-Thought LLM Analysis. USENIX Security Symposium 2025: 4401-4419 - [d2]Youngjoon Kim, Sunguk Shin, Hyoungshick Kim, Jiwon Yoon:
Logs In, Patches Out: Automated Vulnerability Repair via Tree-of-Thought LLM Analysis. Version 2. Zenodo, 2025 [all versions]
- [d1]Youngjoon Kim, Sunguk Shin, Hyoungshick Kim, Jiwon Yoon:
Logs In, Patches Out: Automated Vulnerability Repair via Tree-of-Thought LLM Analysis. Version 1. Zenodo, 2025 [all versions] - 2023
- [j2]Youngjoon Kim, Insup Lee, Hyuk Kwon, Kyeongsik Lee, Jiwon Yoon:
BAN: Predicting APT Attack Based on Bayesian Network With MITRE ATT&CK Framework. IEEE Access 11: 91949-91968 (2023) - [c1]Sangbin Park, Youngjoon Kim, Dong Hoon Lee:
SCVMON: Data-oriented attack recovery for RVs based on safety-critical variable monitoring. RAID 2023: 547-563 - 2021
- [j1]Sunguk Shin, Youngjoon Kim, Ji Won Yoon:
A new approach to training more interpretable model with additional segmentation. Pattern Recognit. Lett. 152: 188-194 (2021)
Coauthor Index
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