So, this just means, this is an DP, I think, such that we have strong guarantees by differential privacy. So, we either train generators with differential privacy, so basically, the parameters cross the privacy boundary…
So, this just means, this is an DP, I think, such that we have strong guarantees by differential privacy. So, we either train generators with differential privacy, so basically, the parameters cross the privacy boundary…