Heedong Yang

Heedong Yang

| 양 희 동

Ph.D. Candidate, Computer Science and Engineering, Korea University

I am a Ph.D. candidate in Computer Science and Engineering at Korea University, advised by Professor Seunghoon Woo in the SSP Lab. I work on binary analysis and software security, extending binary analysis beyond C/C++ to other languages to help secure the software supply chain.

Previously, I worked as a researcher at the Cyber Security Research Center at KAIST, on its binary analysis team. I received my M.S. and B.S. in Computer Engineering from Hannam University, in the HPSC Lab.

 CV  PGP Key

Research Experience

  • SSP Lab, Korea University

    Student Researcher

    2024.03 ~ PresentSeoul, South Korea
  • SSLab, Georgia Institute of Technology

    Visiting Scholar

    2026.05Atlanta, GA, USA
  • Cyber Security Research Center, KAIST

    Researcher, Binary Analysis Team

    2022.03 ~ 2024.02Daejeon, South Korea
  • Fukuoka Institute of Technology

    Research Trainee (VIA'19W)

    2019.02Fukuoka, Japan
  • HPSC Lab, Hannam University

    Student Researcher

    2018.06 ~ 2022.02Daejeon, South Korea

Research Interests

  • Binary Analysis
  • Software Security
  • Software Supply Chain Security

Talks & Presentations

Awards & Honors

  • 1.
    CISC-W'21 Best Paper Award
    2021.11South Korea
  • 2.
    SMA-2020 Best Paper Award (Bronze)
    2020.09South Korea
  • 3.
    CISC-S'20 Best Paper Award
    2020.06South Korea
  • 4.
    KIISC-CC'19 Best Paper Award
    2019.09South Korea

Open-Source Projects

  • 1.
    SBridge

    Developer, F#

    Source-to-binary function matching tool for binary analysis; the artifact of the FSE'26 paper.

    github.com/heedongy/SBridge_Artifact

    2026
  • 2.
    B2R2

    Main Contributor, F#

    Open-source binary analysis framework.

    github.com/B2R2-org/B2R2

    2022 ~ 2023
  • 3.
    KOALA (KAIST Open-source Anonymization Platform)

    Main Contributor, Java

    Data anonymization platform built on the ARX framework, balancing privacy protection with data utility.

    github.com/KAIST-CSRC-Privacy/KOALA

    2023

Patents

  • 1.
    Privacy Model Recommendation and De-identification Method for Preventing Privacy Breach and System Performing the Same

    Patent application No. 10-2023-0113310

    2023South Korea

Publications

Google Scholar DBLP

International Conference

International Journal

Domestic Journal (Korean)

Repositories

A selection of open-source projects I contribute to.

heedongy / SBridge_Artifact

A research artifact associated with the FSE'26 paper "SBridge: Identifying Source-to-Binary Function Similarity via Cross-Domain Control Block Matching"

F# 3
B2R2-org / B2R2

B2R2 is a fully managed binary analysis framework written in F#. It provides a rich set of algorithms, functions, and tools for reverse engineering, program analysis, and binary-level inspection.

F# 554
KAIST-CSRC-Privacy / KOALA

KOALA - KAIST Anonymization Tool

Java 3
heedongy / Sec-Conference-info

Security & Software engineering Conference info

HTML 19

Blog

The blog is moving to blog.dongs.kr.

Fuzzle
2023.12.14

어떤 퍼저가 최고일까? 국제 소프트웨어 테스팅 대회에 새롭게 추가된 벤치마크 ‘Fuzzle’

Contact

Seoul, South Korea

heedongy[at]korea.ac.kr

BibTeX