About me

I am a first-year Ph.D. student at University of Illinois Urbana-Champaign advised by Prof. Xiaojing Liao. I previously worked with Prof. Min Suk Kang in Network Security and Privacy Lab at KAIST.

LLMs are now everywhere. Big tech companies are spending enormous amounts of money to scale and improve these proprietary models, and industries are integrating LLMs into their products. But how much can we trust LLMs? Is the response coming from the intended model? Has the model been trained correctly? How we ensure AI compliance (or alignment) is becoming increasingly important. My current research focuses on building secure and trustworthy AI systems. In particular, I am interested in how cryptography meets AI compliance for verifying modern AI behaviors. My prior work spans blockchain security, including frontrunning attacks against fair-ordering protocols and partitioning attacks on Ethereum.

News

• 2025-08: Here we go! I am excited to begin my journey as a PhD student at University of Illinois.
• 2025-06: I started my research internship at Max Planck Institute for Security and Privacy in Bochum, Germany.
• 2025-05: “On Frontrunning Risks in Batch-Order Fair Systems for Blockchains” was accepted to ACM CCS 2025! 🎉
• 2025-02: I received my M.S. degree from KAIST. 🎓
• 2024-09: I won the 2nd place in the Near AI Hackathon (USD 4K).

Publications

2025

• On Frontrunning Risks in Batch-Order Fair Systems for Blockchains
  Eunchan Park (co-first), Taeung Yoon (co-first), Hocheol Nam, Deepak Maram, Min Suk Kang
  In Proceedings of ACM Conference on Computer and Communications Security (CCS), Oct 2025.
  [paper]

2023

• Partitioning Ethereum without Eclipsing It
  Hwanjo Heo, Seungwon Woo, Taeung Yoon, Min Suk Kang, Seungwon Shin
  In Proceedings of Network and Distributed System Security Symposium (NDSS), February 2023.
  [paper]

Teaching Experience

• Teaching Assistant, Introduction to Computer Networks, KAIST Fall 2024
• Teaching Assistant, Introduction to Information Security, KAIST Spring 2024