0.1 Prior Work  

1 Differential Privacy  
1.1 Definition of Differential Privacy  
1.2 Query  
1.3 The Laplacian Mechanism  
1.4 The Exponential Mechanism  
1.5 The Smooth Sensitivity Framework and the Sample and Aggregate Framework  
1.6 Combination of Differentially Private Mechanisms  

2 Machine Learning  
2.1 Performance Measurement  
2.2 General Ideas of Differentially Private Machine Learning Algorithms  

3 Differentially Private Supervised Learning  

4 Differentially Private Unsupervised Learning  

5 Differentially Private Dimensionality Reduction  

6 Statistical Estimators  

7 Learning in Private Data Release  

8 Theoretical Results  

9 Discussion