I know I'm criticizing, but I do also want to make sure to say good job. I don't want to make it seem like I'm unhappy, if that makes sense.
For privacy prevention, maybe you can help me understand something better then. I was under the impression that for the most part, each fingerprinting technique itself was not enough to identify someone, but it is the collection of them. So in that setting, would not showing the distribution of the individual metrics likely preserve privacy? I can certainly see some subtle naive trap existing here that I'm not aware of but do you know of one? I at least would think things such as agent, dark mode, and some other things shouldn't risk deanonymization. Though clearly things like coordinates, unique fingerprints, and probably even the canvas fingerprinting shouldn't be shared. As long as each data point isn't associated with others and you have a decent sample size. But also I'd love to learn if I'm missing something important.
For privacy prevention, maybe you can help me understand something better then. I was under the impression that for the most part, each fingerprinting technique itself was not enough to identify someone, but it is the collection of them. So in that setting, would not showing the distribution of the individual metrics likely preserve privacy? I can certainly see some subtle naive trap existing here that I'm not aware of but do you know of one? I at least would think things such as agent, dark mode, and some other things shouldn't risk deanonymization. Though clearly things like coordinates, unique fingerprints, and probably even the canvas fingerprinting shouldn't be shared. As long as each data point isn't associated with others and you have a decent sample size. But also I'd love to learn if I'm missing something important.