Hello!

I am a PhD student in Hacking Lab at KAIST, advised by Prof. Insu Yun. My research focuses on privacy issues in computing systems. In particular, I am interested in applying program analysis techniques and AI to develop practical solutions to privacy problems. My current projects investigate privacy issues in the Android and Windows ecosystems.

Previously, I was a member of Networking and Mobile Systems Lab, led by Prof. Sung-Ju Lee.

Curriculum Vitae (updated 2026/9/30)

Education

Korea Advanced Institute of Science and Technology (KAIST)
MS-PhD Integrated Program in Electrical Engineering | Feb 2022 - Present
Advisor: Insu Yun

Korea Advanced Institute of Science and Technology (KAIST)
Bachelor of Engineering – Major in Computer Science; Minor in Intellectual Property | Aug 2017 - Feb 2022

Research Experience

Hacking Lab
Graduate Student Researcher | Sept 2024 - Present
Advised by: Prof. Insu Yun

Nokia Bell Labs Cambridge
Research Intern | June 2024 - Aug 2024
Advised by: Dr. Diana Vasile, Dr. Chulhong Min

Networking and Mobile Systems Laboratory | Daejeon, Korea
Undergraduate Student Researcher, Graduate Student Researcher | June 2020 - May 2024
Advised by: Prof. Sung-Ju Lee

Publications

C=Conference, W=Workshop, P=Preprint

[C.2] Automated Attack Synthesis for Constant Product Market Makers
Sujin Han, Jinseo Kim, Sung-Ju Lee, Insu Yun
International Symposium on Software Testing and Analysis (ISSTA) 2025

[W.1] SecuWear: Secure Data Sharing Between Wearable Devices
Sujin Han, Diana A. Vasile, Fahim Kawsar, Chulhong Min
Workshop on Security and Privacy in Standardized IoT (SDIoTSec) 2025

[C.1] FoodCensor: Promoting Mindful Digital Food Content Consumption for People with Eating Disorders
Ryuhaerang Choi, Subin Park, Sujin Han, Sung-Ju Lee
Conference on Human Factors and Computing Systems (CHI) 2024
Best Paper Honorable Mention (Top 5%)

[P.2] Feeding the Crave: How People with Eating Disorders Get Trapped in the Perpetual Cycle of Digital Food Content
Ryuhaerang Choi, Subin Park, Sujin Han, Sung-Ju Lee
arXiv preprint

[P.1] Recover as It is Designed to Be: Recovering from Compatibility Mobile App Crashes by Reusing User Flows
Donghwi Kim, Hyungjun Yoon, Chang Min Park, Sujin Han, Youngjin Kwon, Steven Y. Ko, Sung-Ju Lee
arXiv preprint

Talks

HotPETs 2026
Should Opt-Out Depend on Where You Live? Comparing Mobile Privacy Choices Across Jurisdictions

Korea Computer Congress (KCC) 2026 (invited)
Automated Attack Synthesis on Constant Product Market Makers