About Me

I’m a Ph.D. candidate in Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Gang Wang in the Siebel School of Computing and Data Science. My research is in network security, with a focus on abuse and fraud detection. I study how defenders detect and respond to attackers who hide behind shared and disposable IP addresses, such as VPNs.

Before UIUC, I received M.S. degrees from the University of Florida and the University of Washington, and a B.A.Sc. in Mechanical Engineering from the University of British Columbia.

Prior Research Experience

At the University of Florida, I worked on security projects involving cellular network security, systems security, and software security. These projects resulted in three published papers, two of them at IEEE S&P and USENIX Security, and a U.S. patent. At the University of Washington, my studies focused on electrical engineering and machine learning, and I published a reproducibility study in NLP that was presented at NeurIPS 2022. I was also a research intern at the University of Washington's Institute for Health Metrics and Evaluation (IHME), where I worked on Global Burden of Disease (GBD) projects on bullying, gun violence, and causes of death and hospitalization. I am a co-author on GBD studies published in The Lancet.

Publications

Revelio: Blurred Images Can Still Disclose Your Identity
Haoyu Zhai, Shuo Wang, Pirouz Naghavi, Qingying Hao, and Gang Wang
IEEE Symposium on Security and Privacy (S&P), 2026
[Paper] [PDF]
Self-Supervised Probability Imputation to Estimate the External-Natural Cause of Injury Matrix
Pirouz Naghavi, Erica Naghavi, Gang Wang, and Kanyin Liane Ong
Machine Learning for Health (ML4H), 2024
[Paper] [PDF]
Side Eye: Characterizing the Limits of POV Acoustic Eavesdropping from Smartphone Cameras with Rolling Shutters and Movable Lenses
Yan Long, Pirouz Naghavi, Blas Kojusner, Kevin Butler, Sara Rampazzi, and Kevin Fu
IEEE Symposium on Security and Privacy (S&P), 2023
[Paper] [PDF] [Website] [Talk] [Media] [Patent]
You Can’t See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks
Yulong Cao, S. Hrushikesh Bhupathiraju, Pirouz Naghavi, Takeshi Sugawara, Z. Morley Mao, and Sara Rampazzi
USENIX Security Symposium, 2023
[Paper] [PDF] [Website] [Talk] [Media]
PermPress: Machine Learning-Based Pipeline to Evaluate Permissions in App Privacy Policies
Muhammad Sajidur Rahman, Pirouz Naghavi, Blas Kojusner, Sadia Afroz, Byron Williams, Sara Rampazzi, and Vincent Bindschaedler
IEEE Access, 2022
[Paper] [PDF] [Website]
[Re] Reproduction and Extension of “Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation”
Erica Eaton* and Pirouz Naghavi* (*equal contribution)
ReScience C, 2022. Presented at NeurIPS 2022
[Paper] [PDF] [Code] [Poster] [Talk]

For the full list, including my Global Burden of Disease (GBD) papers, see Google Scholar.

Pirouz Naghavi

Publications