The basic result is horribly overfitted, because "account creation minute" and "account creation hour" are two of the parameters. (They split those up because "account creation time" was effectively a unique feature all on its own, and they wanted a 'harder' problem.)
This is basically an exercise in overfitting - they learned to recognize account data using that exact same data, and called it deanonymization. The data fuzzing was a little interesting, but it's still overfitting from top to bottom.
This is basically an exercise in overfitting - they learned to recognize account data using that exact same data, and called it deanonymization. The data fuzzing was a little interesting, but it's still overfitting from top to bottom.