dp_throw

4 ms·

1. 1.▲
   by dp_throw 5y ago

   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 the exa
2. 2.▲
   by dp_throw 6y ago

   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 best known met
3. 3.▲
   by dp_throw 6y ago

   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 better than doing