Lecture notes on "Data Privacy"

Num. Topics Files
1 Introduction Notes
2 Properties of differential privacy Notes
3 Basic tools Notes
4 Chernoff and Hoeffding bounds Notes
5 Composition Notes
6 Local differential privacy Notes
7 Histograms + continual observation Notes
8 The shuffle model Notes
9 Private empirical risk minimization Notes
10 Projected gradient decent Notes
11 The interior point problem + amplification by subsampling Notes
12 Private PAC learning Notes
13 Private multiplicative weights Notes