정이원

Paul Chung

Ph.D. Student @ UC San Diego

I am a strong enthusiast for security and privacy, under the supervision of Professors Stefan Savage, Geoff Voelker, and Deepak Kumar in the Sysnet and CryptoSec research groups. As an empiricist, my work primarily focuses on measuring security and privacy challenges that impact everyday users and building systematic solutions. My current research interests include AI abuse and hallucinations, cybercrime, network security, and web anonymity.

Before joining UC San Diego, I was a Goldwater, Mark Mensink, and a Hilldale Scholar at the University of Wisconsin-Madison under Professors Rahul Chatterjee and Kassem Fawaz in the MadS&P group.

Curriculum Vitae Google Scholar

Education

 
Ph.D. in Computer Science
University of California, San Diego
Sep 2024 - Present
 
B.S. in Computer Science
University of Wisconsin—Madison
Sep 2020 - May 2024

News

  • 05/28/2025 — Our Abusing Automation Apps paper got accepted to USENIX Security 2025 🎉
  • 05/10/2025 — I'll be attending IEEE S&P 2025 in San Francisco. Please come and say hi!
  • 04/21/2025 — I'll be serving on the ACM IMC '25 Shadow TPC.
  • 09/26/2024 — I have graduated from UW-Madison and joined UC San Diego for PhD.
  • 08/22/2024 — I am serving on the PETS 2025 Artifact Evaluation Committee.
  • 04/04/2024 — I received an Honorable Mention for the NSF Graduate Research Fellowship.

Publications

  1. Something to Talk About: Social Media as a Lens on Healthcare Ransomware Events
    Seoyoung Kweon, Paul Chung, Isabel Straw, Christian Dameff, Jeffrey Tully, Stefan Savage, Geoffrey M. Voelker, and Deepak Kumar
    AAAI Conference on Web and Social Media (ICWSM), 2027 (to appear)
  2. The Case of the Missing Cases: Inferring Sealed U.S. Federal Cases
    Ye Shu, Elisa Luo, Paul Chung, Geoffrey M. Voelker, and Stefan Savage
    ACM Internet Measurement Conference, 2026 (to appear)
  3. Comparative Insights on Adversarial ML from Industry and Academia: A User-Study Approach
    Vishruti Kakkad, Paul Chung, Hanan Hibshi, and Maverick Woo
    arXiv Preprint, 2026
  4. Abusability of Automation Apps in Intimate Partner Violence
    Shirley Zhang, Paul Chung, Jacob VerVelde, Nishant Korapati, Rahul Chatterjee, and Kassem Fawaz
    USENIX Security Symposium, 2025 [pdf]
  5. Unpacking Privacy Labels: A Measurement and Developer Perspective on Google's Data Safety Section
    Rishabh Khandelwal, Asmit Nayak, Paul Chung, and Kassem Fawaz
    USENIX Security Symposium, 2024 [pdf]
  6. Araña: Discovering and Characterizing Password Guessing Attacks in Practice
    Mazharul Islam, Marina Sanusi Bohuk, Paul Chung, Thomas Ristenpart, and Rahul Chatterjee
    USENIX Security Symposium, 2023 [pdf]
  7. Comparing Privacy Labels of Applications in Android and iOS
    Rishabh Khandelwal, Asmit Nayak, Paul Chung, and Kassem Fawaz
    Workshop on Privacy in the Electronic Society (WPES), 2023 [pdf]
  8. Consistency of Self-reported Practices in Privacy Labels and Privacy Policies
    Rishabh Khandelwal, Paul Chung, Asmit Nayak, and Kassem Fawaz
    arXiv Preprint, 2023 [pdf]
  9. Exploitation of Bluekeep RDP Vulnerability on Embedded Systems and Possible Mitigations
    Yi Won Chung and Tae Gyeom Heo
    Conference on Information Security and Cryptography-Winter (CISC-W'), 2019 [pdf]

Books

  1. Regression Analysis: Mediating and Moderating Effects
    Young Sook Chung, Yi Won Chung, Youngjoon Park, and Seokju Kim
    2025. ISBN: 978-89-997-3586-8 93310

Service

Program Committee:
  • 2027 — PETS Artifacts
  • 2026 — IEEE S&P Artifacts, USENIX Security Artifacts, PETS Artifacts, CoNEXT Artifacts, SOUPS Posters
  • 2025 — ACM IMC (Shadow), PoPETS Artifacts, SOUPS Posters
  • 2024 — SOUPS Posters