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WtaGraph - Web Tracking and Advertising Detection using Graph Neural Networks

IEEE via YouTube

Overview

Explore an innovative approach to web tracking and advertising detection using Graph Neural Networks in this 21-minute IEEE conference talk. Discover how researchers from Colorado School of Mines and Appen have developed WtaGraph, a cutting-edge system that leverages graph-based machine learning techniques to identify and analyze online tracking and advertising mechanisms. Learn about the methodology, implementation, and potential applications of this advanced technology in enhancing web privacy and user experience.

Syllabus

WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks

Taught by

IEEE Symposium on Security and Privacy

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