Dongwon Shin
Dongwon Shin

Ph.D. Student

godeastone@kaist.ac.kr

About Me

I am a Ph.D. student @KAIST WSP Lab under the supervision of Sooel Son. My research interests include: (1) Developing safer and more efficient guardrails for LLMs, (2) Conducting various attacks and defenses against websites providing privacy-sensitive services, and (3) Analyzing diverse privacy issues in agentic systems. If you have any questions, feel free to reach out to me via email.

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. Site Isolation is Dead: How Site Isolation is Broken in Agentic Browsers and Extensions (To Appear)
    Suyoung Lee, Seongho Keum, Changoo Lee, Dongwon Shin, Sanghyun Hong, Byoungyoung Lee, and Sooel Son.
    47th IEEE Symposium on Security and Privacy (S&P 2026).

  2. 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).

  3. 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]

  4. 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]

  5. 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)