Layer normalization (LN) is a widely adopted deep learning technique
esp...
We study the problem of private distribution learning with access to pub...
We show that the canonical approach for training differentially private ...
We initiate the study of differentially private (DP) estimation with acc...
Although machine learning models trained on massive data have led to
bre...
While significant improvements have been made in recent years in terms o...