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2020 – today
- 2022
[j3]Carlos Nkuba Kayembe
, Seulbae Kim, Sven Dietrich, Heejo Lee:
Riding the IoT Wave With VFuzz: Discovering Security Flaws in Smart Homes. IEEE Access 10: 1775-1789 (2022)- [c5]Seulbae Kim, Major Liu, Junghwan John Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim:
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing. CCS 2022: 1753-1767 - [c4]Seulbae Kim, Taesoo Kim:
RoboFuzz: fuzzing robotic systems over robot operating system (ROS) for finding correctness bugs. ESEC/SIGSOFT FSE 2022: 447-458 - [i2]Seulbae Kim, Major Liu, Junghwan John Rhee, Yuseok Jeon, Yonghwi Kwon, Chung Hwan Kim:
DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing. CoRR abs/2211.01829 (2022) - 2021
- [c3]Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh:
Centris: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. ICSE 2021: 860-872 - [i1]Seunghoon Woo, Sunghan Park, Seulbae Kim, Heejo Lee, Hakjoo Oh:
CENTRIS: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. CoRR abs/2102.06182 (2021) - 2020
- [j2]Seulbae Kim, Meng Xu, Sanidhya Kashyap, Jungyeon Yoon, Wen Xu, Taesoo Kim:
Finding Bugs in File Systems with an Extensible Fuzzing Framework. ACM Trans. Storage 16(2): 10:1-10:35 (2020)
2010 – 2019
- 2019
- [c2]Seulbae Kim, Meng Xu, Sanidhya Kashyap, Jungyeon Yoon, Wen Xu, Taesoo Kim:
Finding semantic bugs in file systems with an extensible fuzzing framework. SOSP 2019: 147-161 - 2018
- [j1]Seulbae Kim, Heejo Lee:
Software systems at risk: An empirical study of cloned vulnerabilities in practice. Comput. Secur. 77: 720-736 (2018) - 2017
- [c1]Seulbae Kim, Seunghoon Woo, Heejo Lee, Hakjoo Oh:
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery. IEEE Symposium on Security and Privacy 2017: 595-614
Coauthor Index
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