Shaoor Munir

Ph.D. Candidate in Computer Science

Shaoor Munir

University of California, Davis

I am currently pursuing my Ph.D. in Computer Science at the University of California, Davis, under the guidance of Professor Zubair Shafiq. My research is focused on enhancing online privacy for users worldwide by employing advanced machine learning and data analytics techniques.

Latest

Recent Updates

November 2025

Released arXiv pre-print of my under-submission paper on JavaScript keystroke event listeners and wiretapping law. Co-authored comprehensive SoK on web tracking advances.

October 2024

Presented at Ad-Filtering Dev Summit 2024 on evaluating LLMs as a defense against online tracking. Paper on fine-grained JavaScript blocking appeared at ACM CCS 2024.

August 2024

Presented PURL at USENIX Security 2024. Research on Chrome antitrust featured in ProMarket (Stigler Center).

June 2024

Released arXiv preprint of my paper on evasive web bot detection: FP-Inconsistent. Started serving on ACM CCS 2026 Program Committee.

Research

Recent Publications

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2025arXiv
SoK: Advances and Open Problems in Web Tracking

Yash Vekaria, Yohan Beugin, Shaoor Munir, Gunes Acar, Nataliia Bielova, Steven Englehardt, Umar Iqbal, Alexandros Kapravelos, Pierre Laperdrix, Nick Nikiforakis, Jason Polakis, Franziska Roesner, Zubair Shafiq, Sebastian Zimmeck

PrivacyWeb TrackingSurveyRead Paper

Focus Areas

Research Interests

Online Privacy

Developing techniques to protect user privacy from tracking and data collection.

Machine Learning

Applying ML to detect and counter privacy-invasive technologies.

Web Security

Analyzing browser security, fingerprinting, and bot detection.

Technology Policy

Examining the intersection of technology, privacy, and antitrust law.

Data Analytics

Large-scale measurement and analysis of web tracking ecosystems.

Natural Language Processing

Text generation, attribution, and language model analysis.