Minjun Long
CS PhD Student at University of Virginia

Rice Hall 336
Charlottesville, VA
I am a third-year Computer Science PhD candidate at the University of Virginia, where I am fortunate to be advised by Professor David Evans in Security Research Group. I am a problem-driven individual, motivated by high-level objectives, and I excel at quickly learning new skills and techniques to solve complex challenges. My research and work experience reflect my openness to a broad range of projects aimed at enhancing computer security and safeguarding user privacy in an increasingly data-driven world. I was supervised by Professor Yuan Tian for my undergraduate research. My past research includes analyzing code to find vulnerable patterns, examining online platforms to address privacy issues, and building privacy-preserving systems.
My Chinese name is written as 龙玟君, and I go by Elena in my daily life. I drew my self-portrait on the right with Procreate, celebrating the Year of the Dragon (2024).
news
Aug 14, 2024 | I will serve in the upcoming PoPETS Artifact Evaluation Committee for 2025. |
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Jul 14, 2024 | Our paper “Evaluating Google’s Protected Audience Protocol” has been accepted to the 24th Proceedings of Privacy Enhancing Technologies Symposium (PoPETs/PETS). |
Feb 23, 2023 | Our paper “SenRev: Measurement of Personal Information Disclosure in Online Health Communities” from my undergraduate work has been accepted to the 23th Proceedings of Privacy Enhancing Technologies Symposium (PoPETs/PETS). |
Jan 16, 2023 | I passed the PhD Qualifying Exam and officially become a PhD candidate! |
Nov 7, 2022 | Our paper “Is Your Policy Compliant? A Deep Learning-based Empirical Study of Privacy Policies’ Compliance with GDPR” from my undergraduate work has been accepted to the WPES workshop as part of the ACM conference in Los Angeles. |
Aug 26, 2022 | I continued my study at UVA and have officially started as a Computer Science PhD student with fellowship. |
May 21, 2022 | I have graduated from the University of Virginia with BA in both Computer Science with Highest Distinction and Psychology ![]() |