ML-CB: Machine Learning Canvas Block

Nathan Reitinger

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ML-CB: Machine Learning Canvas Block

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Nathan Reitinger

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Description: In this paper, we develop a new privacy enhancing tool: ML-CB—a means of using distinguishable pictorial information combined with underlying website source code to produce accurate and robust machine learning classifiers able to discern fingerprinting (i.e., surreptitious tracking) from non-fingerprinting canvas-based actions.

License: MIT License

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