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.
WtaGraph - Web Tracking and Advertising Detection using Graph Neural Networks
Overview
Syllabus
WtaGraph: Web Tracking and Advertising Detection using Graph Neural Networks
Taught by
IEEE Symposium on Security and Privacy
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