Scholar
Yuseok Jeon
Google Scholar ID: jiWJfWkAAAAJ
Associate Professor, Korea University
Citations & Impact
Citations
395
H-index
9
i10-index
9
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- 2025: Intent-aware Fuzzing for Android Hardened Application (CCS); Lightweight Concolic Testing via Path-Condition Synthesis for Deep Learning Libraries (ICSE); CMASan: Custom Memory Allocator-aware Address Sanitizer (S&P, Distinguished Paper Award); Type++: Prohibiting Type Confusion with Inline Type Information (NDSS); 2024: On the Robustness of Graph Reduction Against GNN Backdoor (AISec); ERASAN: Efficient Rust Address Sanitizer (S&P); DryJIN: Detecting Information Leaks in Android Applications (IFIP SEC); 2023: Pspray: Timing Side-Channel based Linux Kernel Heap Exploitation Technique (USENIX Security); 2022: Perfect Spray: A Journey From Finding a New Type of Logical Flaw at Linux Kernel To Developing a New Heap Exploitation Technique (BlackHat EUROPE); DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing (CCS)
Research Experience
- Associate Professor, Korea University, South Korea (2025.03 - Present); Assistant Professor, Ulsan National Institute of Science and Technology (UNIST), South Korea (2021.02 - 2025.02); Graduate Intern, Platform Security Division, Intel, Hillsboro, OR, USA (2018.05 - 2018.08); Research Intern, Security Department, NEC Labs America, Princeton, NJ, USA (2016.05 - 2016.08); Research Engineer, Software R&D Center, Samsung Electronics, South Korea (2013.12 - 2015.06); Research Engineer, National Security Research Institute, South Korea (2010.02 - 2013.06)
Education
- Ph.D. in Computer Science, Purdue University, USA (2015.08 - 2020.12); M.S. in Computer and Communications Engineering, POSTECH, South Korea (2008.02 - 2010.02); B.S. in Computer Science and Engineering, INHA University, South Korea (2003.03 - 2007.08)
Background
- Research Interests: All aspects of software and systems security. In particular, my research focus is on designing and implementing advanced bug sanitization and mitigation techniques to protect operating systems and user applications in existing and emerging areas (e.g., autonomous driving, drones) by leveraging compiler, fuzzing, and AI-based techniques.
Miscellany
- Looking for motivated collaborators (graduate students and undergraduate interns).
Co-authors