VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery. - Seulbae Kim; Seunghoon Woo; Heejo Lee; Hakjoo Oh (IEEE Symposium on Security and Privacy, 2017)

Dicos: Discovering Insecure Code Snippets from Stack Overflow Posts by Leveraging User Discussions. - Hyunji Hong; Seunghoon Woo; Heejo Lee (ACSAC, 2021)

OCTOPOCS: Automatic Verification of Propagated Vulnerable Code Using Reformed Proofs of Concept. - Seongkyeong Kwon; Seunghoon Woo; Gangmo Seong; Heejo Lee (DSN, 2021)

Centris: A Precise and Scalable Approach for Identifying Modified Open-Source Software Reuse. - Seunghoon Woo; Sunghan Park; Seulbae Kim; Heejo Lee; Hakjoo Oh (ICSE, 2021)

V0Finder: Discovering the Correct Origin of Publicly Reported Software Vulnerabilities. - Seunghoon Woo; Dongwook Lee; Sunghan Park; Heejo Lee; Sven Dietrich (USENIX Security Symposium, 2021)

L2Fuzz: Discovering Bluetooth L2CAP Vulnerabilities Using Stateful Fuzz Testing. - Haram Park; Carlos Nkuba Kayembe; Seunghoon Woo; Heejo Lee (DSN, 2022)

MOVERY: A Precise Approach for Modified Vulnerable Code Clone Discovery from Modified Open-Source Software Components. - Seunghoon Woo; Hyunji Hong; Eunjin Choi; Heejo Lee (USENIX Security Symposium, 2022)

xVDB: A High-Coverage Approach for Constructing a Vulnerability Database. - Hyunji Hong; Seunghoon Woo; Eunjin Choi; Jihyun Choi; Heejo Lee (IEEE Access, 2022)

Circuit: A JavaScript Memory Heap-Based Approach for Precisely Detecting Cryptojacking Websites. - Hyunji Hong; Seunghoon Woo; Sunghan Park; Jeongwook Lee; Heejo Lee (IEEE Access, 2022)

V1SCAN: Discovering 1-day Vulnerabilities in Reused C/C++ Open-source Software Components Using Code Classification Techniques. - Seunghoon Woo; Eunjin Choi; Heejo Lee; Hakjoo Oh (USENIX Security Symposium, 2023)

ZMAD: Lightweight Model-Based Anomaly Detection for the Structured Z-Wave Protocol. - Carlos Nkuba Kayembe; Seunghoon Woo; Heejo Lee; Sven Dietrich (IEEE Access, 2023)

BloomFuzz: Unveiling Bluetooth L2CAP Vulnerabilities via State Cluster Fuzzing with Target-Oriented State Machines. - Pyeongju Ahn; Yeonseok Jang; Seunghoon Woo; Heejo Lee (ESORICS (3), 2024)

CNEPS: A Precise Approach for Examining Dependencies among Third-Party C/C++ Open-Source Components. - Yoonjong Na; Seunghoon Woo; Joomyeong Lee; Heejo Lee (ICSE, 2024)

Piecewise Affine Relaxation of Discrete Value Functions in Learning Model Predictive Control With Application to Autonomous Racing. - Eunhyek Joa; Changhee Kim; Donghoon Shin; Seunghoon Woo (IEEE Control. Syst. Lett., 2024)

A Novel Lateral Dynamics Control Strategy of In-Wheel Motor Vehicle to Improve Agility and Straight-Line Driving Stability. - Sangyeop Lee; Keonchang Kim; Seongjoon Moon; Byongsung Kim; Jaehyun Ahn; Junha Hwang; Donghyun Kim; Seunghoon Woo; Jinwoo Yoo (IEEE Trans. Veh. Technol., 2024)

ZCover: Uncovering Z-Wave Controller Vulnerabilities Through Systematic Security Analysis of Application Layer Implementation. - Carlos Nkuba Kayembe; Jimin Kang; Seunghoon Woo; Heejo Lee (DSN, 2025)

Tiver: Identifying Adaptive Versions of C/C++ Third-Party Open-Source Components Using a Code Clustering Technique. - Youngjae Choi; Seunghoon Woo (ICSE, 2025)

Coordinated Control Approach for Brake Actuator Failures: A Fault-Tolerant Strategy Using Braking Systems and Steering. - Yunchul Ha; Seunguk Jeon; Jinyong Park; Seoyeon Choi; Seunghoon Woo (IEEE Access, 2025)

Capability Analysis of Fault-Tolerant Control With Differential Braking for Steer-by-Wire Failure. - Yunchul Ha; Seunguk Jeon; Haekwon Park; Aldo Sorniotti; Seunghoon Woo (IEEE Access, 2025)

Reference Torque Tracking Controller for Electric Power Steering Using a Disturbance Observer With System Identification-Based Parameter Selection. - Chanwoo Heo; Daehyun Jung; Jeongha Moon; Deukpyo Lee; Wonshick Ko; Seunghoon Woo (IEEE Access, 2025)

A large-scale analysis of the effectiveness of publicly reported security patches. - Seunghoon Woo; Eunjin Choi; Heejo Lee (Comput. Secur., 2025)