When Tracking Learns: Learning-Based Browser Fingerprinting Under Anti-Fingerprinting Defenses
(To appear) In ACM Conference on Computer and Communications Security (CCS), November 2026, The Hague, The Netherlands.
“Walking to where the water ends, I sit and watch the clouds rise.”
Wang Wei, My Retreat at Mount Zhongnan
I am drawn to the seams of the web, where intention and exposure quietly diverge. My research traces the implicit signals browsers expose and how they are used to identify, track, and authenticate users, as well as the cat-and-mouse game between defenses and techniques that bypass them, toward a web where what is revealed is only what was meant.
I am an Assistant Professor in the School of Electrical Engineering and Computer Science at Washington State University.
When Tracking Learns: Learning-Based Browser Fingerprinting Under Anti-Fingerprinting Defenses
(To appear) In ACM Conference on Computer and Communications Security (CCS), November 2026, The Hague, The Netherlands.
Eadem, Sed Aliter: Investigating the Instability of Browser Fingerprinting
(To appear) In ACM Internet Measurement Conference (IMC), October 2026, Karlsruhe, Germany.
In IEEE Symposium on Security and Privacy (S&P), May 2023, San Francisco, CA. (Acceptance rate: 17.0%)
Phish in Sheep’s Clothing: Exploring the Authentication Pitfalls of Browser Fingerprinting
In USENIX Security Symposium (USENIX Security), August 2022, Boston, MA. (Acceptance rate: 17.2%)
Fill in the Blanks: Empirical Analysis of the Privacy Threats of Browser Form Autofill
In ACM Conference on Computer and Communications Security (CCS), November 2020, Virtual. (Acceptance rate: 16.9%)
CSAW Applied Research Competition Finalist, 2021