Researcher

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.

Highlights

Featured Work

All Publications

Vanderbilt JETLAW, Vol. 27, No. 3 (2024)

Google's Chrome Antitrust Paradox

An analysis of how Chrome reinforces Google's dominance in advertising and publishing, with proposed behavioral, structural, and divestment remedies.

Featured in ProMarket (Stigler Center)

Quoted in Newsweek, Business Insider

Referenced in DOJ divestiture coverage

Antitrust Policy Chrome

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ACM CCS 2023

CookieGraph

A machine learning approach to detect first-party tracking cookies that are increasingly used as third-party cookies become blocked by browsers.

Cited by UK CMA in Privacy Sandbox report

Featured in DataSkeptic podcast

89.86% of top websites use first-party tracking

Privacy Machine Learning Web Tracking

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USENIX Security 2024

PURL

A machine-learning approach using cross-layer graph representation to safely sanitize tracking information in decorated links while preserving functionality.

Featured in The Register

Presented at Ad-Filtering Dev Summit

Adopted cross-layer graph analysis

Privacy Web Tracking Machine Learning

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Latest

Recent Updates

November 2025Publication

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.

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October 2024Publication

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.

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August 2024Talk

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

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June 2024Publication

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

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Research

Recent Publications

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2025Preprint

Every Keystroke You Make: A Tech-Law Measurement and Analysis of Event Listeners for Wiretapping

arXiv Preprint(arXiv)

Shaoor Munir, Nurullah Demir, Qian Li, Konrad Kollnig, Zubair Shafiq

TL;DR:38.52% of top websites install third-party keystroke listeners. We connect this invasive tracking to U.S. wiretapping laws.

Privacy Web Tracking Wiretapping

Paper PDF

2025Preprint

SoK: Advances and Open Problems in Web Tracking

arXiv Preprint(arXiv)

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