Heedong Yang
Ph.D Student
- heedongy[at]korea.ac.kr
Heedong Yang
| 양 희 동Ph.D Student, Computer Science and Engineering, Korea University
I am a Ph.D. candidate in Computer Science and Engineering at Korea University, under Professor Seunghoon Woo at the SSP Lab. My research interests are binary analysis and software security. I focus on binary analysis, not just for C/C++ but across a broader range of languages, to help secure the software supply chain.
Previously, I worked as a researcher at the KAIST CSRC(Cyber Security Research Center, KAIST), where I focused on binary analysis. I received my M.S. and B.S. in Computer Engineering from HPSC lab, Hannam University
Research Experience
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SSP Lab, Korea University
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SSLab, Georgia Institute of Technology
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Cyber Security Research Center, KAIST
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Fukuoka Institute of Technology
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HPSC Lab, Hannam University
Research Interest
Talks & Presentations
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"SBridge: Identifying Source-to-Binary Function Similarity via Cross-Domain Control Block Matching"
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"Suitability Verification for NVD Reference Feature Used in Predicting Vulnerability Exploitation"
Awards & Honors
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CISC-W'21 Best Paper Award
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SMA-2020 Best Paper Award (Bronze)
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CISC-S'20 Best Paper Award
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KIISC-CC'19 Best Paper Award
Open-Source Software Project
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SBridge
A source to binary function matching tool for binary analysis (Paper Artifact)
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KOALA (KAIST Open-source Anonymization Platform)
A platform for data anonymization balancing privacy protection with data utility using ARX framework
Patents
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Privacy Model Recommendation and De-identification Method for Preventing Privacy Breach and System Performing the Same
International Conference
2026.06
FSE 2026 Software EngineeringTop-tier
Conference
SBridge: Identifying Source-to-Binary Function Similarity via Cross-Domain Control Block Matching
Top-tier Conference
The ACM International Conference on the Foundations of Software Engineering (FSE'26), pp. 1381–1403.
2023.12
APSEC 2023On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-box Fuzzers
2023 Asia-Pacific Software Engineering Conference (APSEC'23), IEEE, pp. 11–20.
2020.12
ICEA 2020Machine Learning based Malware Detection with the 2019 KISA Data Challenge Dataset
2020 ACM International Conference on Intelligent Computing and its Emerging Applications (ICEA'20), pp. 1–4.
2020.08
SMA 2020Demystifying ARM TrustZone TEE Client API using OP-TEE
Best Paper Award (Bronze)
The 9th International Conference on Smart Media and Applications (SMA'20), pp. 325–328.
2019.06
IMIS 2019A Survey on Attack Cases Exploiting Computer Architectural Vulnerabilities
International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS'19), Springer, pp. 834–844.
International Journal
2020.04
Applied Sciences 2020 SCIEBetter Not to Use Vulnerability’s Reference for Exploitability Prediction
Applied Sciences, 10, 2555.
Domestic Journal(Kor)
2025.02
정보보호학회지공급망 보안을 위한 소프트웨어 명세서 (SBOM) 개선 연구
정보보호학회지, 35(1), 9-16.
2023.12
정보과학회논문지 KCI상관관계 지표를 이용한 익명 데이터의 유용성 측정
정보과학회논문지, 50(12), 1163-1173.
2023.11
정보과학회논문지 KCI프라이버시 보호 데이터 배포: 정형 및 비정형 데이터 비식별화 기술 동향
정보과학회논문지, 50(11), 1008-1029.
2023.10
한국컴퓨터정보학회논문지 KCI데이터 특성 분석 기반 프라이버시 모델 추천 시스템
한국컴퓨터정보학회논문지, 28(9), 81-92.
http://journal.kci.go.kr/jksci/archive/articleView?artiId=ART002998509
2022.10
정보보호학회논문지 KCI2020.12
정보보호학회논문지 KCI함수 단위 N-gram 비교를 통한 Spectre 공격 바이너리 식별 방법
정보보호학회논문지, 30(6), 1043-1052.
