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

Google's Chrome Antitrust Paradox

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

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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CookieGraph

ACM CCS 2023

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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PURL

USENIX Security 2024

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

December 2025Media

Keystroke wiretapping research featured in Newsweek discussing Google Chrome's market dominance. Research also covered by DataSkeptic podcast on CookieGraph.

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September 2025Media

Keystroke tracking research reached Hacker News front page. Released arXiv pre-print on JavaScript keystroke event listeners and wiretapping law.

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June 2025Media

Chrome antitrust research cited in ProMarket's analysis of potential Chrome divestiture. 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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Research