Dongwon Shin
Dongwon Shin

Security Researcher

About Me

I am a Ph.D. student @KAIST WSP Lab under the supervision of Sooel Son. My primary research interests lie in various attacks and defenses against websites providing privacy-sensitive services. I am also interested in analyzing diverse privacy issues related to large language models. If you have any questions, feel free to reach out to me via email (dongwon.shin@kaist.ac.kr).

Education

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

Publications (*: equal contribution)

  1. LLMs Killed Q&A Stars? Analyzing the Impact of LLM-Generated Answers on an Online Q&A Platform (To Appear)
    Dongwon Shin and Sooel Son.
    35th The ACM Web Conference (WWW 2026).

  2. Private Investigator: Extracting Personally Identifiable Information from Large Language Models Using Optimized Prompts
    Seongho Keum, Dongwon Shin, Leo Marchyok, Sanghyun Hong, and Sooel Son.
    34th USENIX Security Symposium (USENIX Security 2025).
    [paper] [bib] [slides] [code]

  3. 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]

  4. RICC: Robust Collective Classification of Sybil Accounts
    Dongwon Shin*, Suyoung Lee*, and Sooel Son.
    32th The ACM Web Conference (WWW 2023).
    [paper] [bib] [slides] [code]

Research Experiences

Web Security & Privacy Lab, KAIST
M.S. & Ph.D. student, (Mar. 2022 - present)
Web Security, Machine Learning

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

Academic Services

• Conference Reviewer

- WWW 2026 (Security and Privacy Research Track)