Name:
WebGraph
Description:
Capturing Advertising and Tracking Information Flows for Robust Blocking
Professor — Lab:
Carmela TroncosoSecurity and Privacy Engineering Laboratory

Technical description:
ML-based ad and tracker blocker that detects ads and trackers based on their action rather than their content.
Papers:
Project status:
inactive — entered showcase: 2022-07-07 — entry updated: 2023-03-22

Source code:
Lab GitHub - last commit: 2022-08-25
Code quality:
Intermediate
Project type:
Application
Programming language:
Python
License:
other