Seulbae Kim

13 papers A* 4A 1Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Detecting Compiler-Introduced Security Bugs via IR Mutation and Coverage-Guided Fuzzing.
EuroSec
Selim Oh, Seulbae Kim
2025 A conf
SoundBoost: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel.
DSN
Haoran Wang, Zheng Yang, Sangdon Park, Yibin Yang, Seulbae Kim, Willian T. Lunardi, Martin Andreoni, Taesoo Kim, Wenke Lee
2024 — —
Fortifying Cyber-Physical Systems through Comprehensive Bug-finding and Mitigation.
Seulbae Kim
2022 A* conf
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing.
CCS
Seulbae Kim, Major Liu, Junghwan John Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim
2022 J jnl
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing.
CoRR
Seulbae Kim, Major Liu, Junghwan John Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim
2022 J jnl
Riding the IoT Wave With VFuzz: Discovering Security Flaws in Smart Homes.
IEEE Access
Carlos Nkuba Kayembe, Seulbae Kim, Sven Dietrich, Heejo Lee
2022 — conf
RoboFuzz: fuzzing robotic systems over robot operating system (ROS) for finding correctness bugs.
ESEC/SIGSOFT FSE
Seulbae Kim, Taesoo Kim
2021 J jnl
CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse.
CoRR
Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh
2021 A* conf
Centris: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse.
ICSE
Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh
2020 J jnl
Finding Bugs in File Systems with an Extensible Fuzzing Framework.
ACM Trans. Storage
Seulbae Kim, Meng Xu, Sanidhya Kashyap, Jungyeon Yoon, Wen Xu, Taesoo Kim
2019 A* conf
Finding semantic bugs in file systems with an extensible fuzzing framework.
SOSP
Seulbae Kim, Meng Xu, Sanidhya Kashyap, Jungyeon Yoon, Wen Xu, Taesoo Kim
2018 J jnl
Software systems at risk: An empirical study of cloned vulnerabilities in practice.
Comput. Secur.
Seulbae Kim, Heejo Lee
2017 A* conf
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery.
IEEE Symposium on Security and Privacy
Seulbae Kim, Seunghoon Woo, Heejo Lee, Hakjoo Oh