Omkar2118/datasets huggingface dataset:
ML-CB
Full name: ML-CB: Machine Learning Canvas Block

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.

The data introduced in the paper is collected by scraping roughly half a million websites using a custom Google Chrome extension storing information related to the canvas.

Source: [ML-CB: Machine Learning Canvas Block](https://www.petsymposium.org/2021/files/papers/issue3/popets-2021-0056.pdf)

Introducing paper: ML-CB: Machine Learning Canvas Block