Differential Privacy and Applications

1. Introduction
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

2. Preliminary of Differential Privacy
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

3. Differentially Private Data Publishing: Settings and Mechanisms
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

4. Differentially Private Data Publishing: Interactive Setting
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

5. Differentially Private Data Publishing: Non-interactive Setting
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

6. Differentially Private Data Analysis
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

7. Differentially Private Deep Learning
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

8. Differentially Private Applications: Where to Start?
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

9. Differentially Private Social Network Data Publishing
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

10. Differentially Private Recommender System
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

11. Privacy Preserving for Tagging Recommender Systems
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

12. Differentially Location Privacy
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

13. Differentially Private Spatial Crowdsourcing
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

14. Correlated Differential Privacy for Non-IID Datasets
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

15. Future Directions and Conclusion
Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu

Nyckelord: Computer Science, Data Mining and Knowledge Discovery, Systems and Data Security, Privacy, Artificial Intelligence (incl. Robotics)