Minjun Long

CS PhD Student at University of Virginia


prof_pic_23.jpg

Rice Hall 336

Charlottesville, VA

I am currently a second-year Computer Science PhD student at the University of Virginia, where I am fortunate to be advised by Professor Dave Evans in Security Research Group. My research interests encompass a broad range of topics within the realm of security and privacy, including but not limited to application security, network security, and data privacy. My past research includes analyzing code to find vulnerable patterns, examining online platforms to address privacy issues, and building privacy-preserving systems. At present, my work revolves around the study of privacy within the ad ecosystem.

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. The ears are for celebrating the Year of the Rabbit (2023).


news

Feb 23, 2023 Our paper “SenRev: Measurement of Personal Information Disclosure in Online Health Communities” from my undergraduate work has been accepted to the Proceedings of Privacy Enhancing Technologies Symposium (PoPETs/PETS).
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 :sparkles:

selected publications

  1. Is Your Policy Compliant? A Deep Learning-based Empirical Study of Privacy Policies’ Compliance with GDPR
    Tamjid Al Rahat, Minjun Long, and Yuan Tian
    ACM Workshop on Privacy in the Electronic Society 2022
  2. PETS 23
    SenRev: Measurement of Personal Information Disclosure in Online Health Communities
    Faysal Hossain Shezan, Minjun Long, David Hasani, Gang Wang, and Yuan Tian
    Proceedings on Privacy Enhancing Technologies 2023