Dongwon Shin

Security Researcher

© 2025. All rights reserved.

About Me

I am a Ph.D. student @KAIST WSP Lab. My primary research interests lie in various attacks and defenses against web sites providing privacy-sensitive services. In particular, I am interested in securing web services by leveraging machine learning. If you have any questions, feel free to reach out to me via email (dongwon.shin@kaist.ac.kr).

Education

Mar. 2024 - Ph.D. student, Graduate School of Information Security, KAIST (Advisor: Sooel Son)
Mar. 2022 - Feb. 2024 Master's student, Graduate School of Information Security, KAIST (Advisor: Sooel Son)
Mar. 2018 - Feb. 2022 B.S., Cyber Security, Ajou University

Publications

(*: equal contribution)
  1. Private Investigator: Extracting Personally Identifiable Information from Large Language Models Using Optimized Prompts (To Appear)
    Seongho Keum, Dongwon Shin, Leo Marchyok, Sanghyun Hong, and Sooel Son.
     34th USENIX Security Symposium (USENIX Security 2025).

  2. You Only Perturb Once: Bypassing (Robust) Ad-Blockers Using Universal Adversarial Perturbations
    Dongwon Shin, Suyoung Lee, Sanghyun Hong, and Sooel Son.
     40th Annual Computer Security Applications Conference (ACSAC 2024).
    [paper] [bib] [slides] [code]

  3. RICC: Robust Collective Classification of Sybil Accounts
    Dongwon Shin*, Suyoung Lee*, and Sooel Son.
     The Web Conference 2023: Security, Privacy, and Trust Research Track (WWW 2023).
    [paper] [bib] [slides] [code]

Research Experiences

Web Security & Privacy Lab, KAIST (Advisor: Sooel Son)
Ph.D. student, (Mar. 2022 - present)
Web Security, Machine Learning

Information Communication Security Lab, Ajou University (Advisor: Taeshik Shon)
Undergraduate research intern, (Sep. 2020 - Aug. 2021)
Digital Forensics