differential privacy is good for answering population questions like "how many people in my dataset have property x?". it's a lot less clear how to apply it to something as granular as serving personalized ads. and as…
Just to add to the nice responses from lomereiter and georgefox, I think the common response to > For official statistics and scientific research this is often not an acceptable tradeoff is that differential privacy is…
The process of only releasing information that describes groups of people is more broadly known as k-anonymity [1]. This comment does a pretty good job of describing its appeal (it makes some intuitive sense, and it's…
differential privacy is good for answering population questions like "how many people in my dataset have property x?". it's a lot less clear how to apply it to something as granular as serving personalized ads. and as…
Just to add to the nice responses from lomereiter and georgefox, I think the common response to > For official statistics and scientific research this is often not an acceptable tradeoff is that differential privacy is…
The process of only releasing information that describes groups of people is more broadly known as k-anonymity [1]. This comment does a pretty good job of describing its appeal (it makes some intuitive sense, and it's…