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References

1. & Frank McSherry"Differential data privacy" US patent 7698250, published 2010-04-13, assigned to Microsoft Corp (original)and Microsoft Technology Licensing LLC (current) http://v3.espacenet.com/textdoc?DB=EPODOC&IDX=US7698250
2. Dwork, Cynthia (2006). Differential Privacy. pp. 1–12. https://dl.acm.org/citation.cfm?id=2097284. 
3. Tore Dalenius (1977). "Towards a methodology for statistical disclosure control". Statistik Tidskrift 15. 
4. Dorothy E. Denning; Peter J. Denning; Mayer D. Schwartz (March 1978). The Tracker: A Threat to Statistical Database Security. 4. pp. 76-96. http://www.dbis.informatik.hu-berlin.de/fileadmin/lectures/SS2011/VL_Privacy/Tracker1.pdf. 
5. Irit Dinur and Kobbi Nissim. 2003. Revealing information while preserving privacy. In Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems (PODS '03). ACM, New York, NY, USA, 202–210. DOI:10.1145/773153.773173
6. Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. 2006. Calibrating noise to sensitivity in private data analysis. In Proceedings of the Third conference on Theory of Cryptography (TCC'06), Shai Halevi and Tal Rabin (Eds.). Springer-Verlag, Berlin, Heidelberg, 265–284. DOI:10.1007/11681878 14
7. Hilton, Michael. Differential Privacy: A Historical Survey. https://pdfs.semanticscholar.org/4c99/097af05e8de39370dd287c74653b715c8f6a.pdf. 
8. Dwork, Cynthia (2008-04-25). "Differential Privacy: A Survey of Results". in Agrawal, Manindra (in en). Theory and Applications of Models of Computation. Lecture Notes in Computer Science. Springer Berlin Heidelberg. pp. 1–19. doi:10.1007/978-3-540-79228-4_1. ISBN 9783540792277. https://www.microsoft.com/en-us/research/publication/differential-privacy-a-survey-of-results/. 
9. The Algorithmic Foundations of Differential Privacy by Cynthia Dwork and Aaron Roth. Foundations and Trends in Theoretical Computer Science. Vol. 9, no. 3–4, pp. 211‐407, Aug. 2014. DOI:10.1561/0400000042 http://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
10. Differential Privacy by Cynthia Dwork, International Colloquium on Automata, Languages and Programming (ICALP) 2006, p. 1–12. DOI:10.1007/11787006 1 http://research.microsoft.com/pubs/64346/dwork.pdf
11. Calibrating Noise to Sensitivity in Private Data Analysis by Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith In Theory of Cryptography Conference (TCC), Springer, 2006. DOI:10.1007/11681878 14 http://research.microsoft.com/en-us/projects/DatabasePrivacy/sensitivity.pdf
12. A. Ghosh, T. Roughgarden, and M. Sundararajan. Universally utility-maximizing privacy mechanisms. In Proceedings of the 41st annual ACM Symposium on Theory of Computing, pages 351–360. ACM New York, NY, USA, 2009.
13. H. Brenner and K. Nissim. Impossibility of Differentially Private Universally Optimal Mechanisms. In Proceedings of the 51st Annual IEEE Symposium on Foundations of Computer Science (FOCS), 2010.
14. R. Chen, N. Mohammed, B. C. M. Fung, B. C. Desai, and L. Xiong. Publishing set-valued data via differential privacy. The Proceedings of the VLDB Endowment (PVLDB), 4(11):1087–1098, August 2011. VLDB Endowment.
15. N. Mohammed, R. Chen, B. C. M. Fung, and P. S. Yu. Differentially private data release for data mining. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 493–501, San Diego, CA: ACM Press, August 2011.
16. Privacy integrated queries: an extensible platform for privacy-preserving data analysis by Frank D. McSherry. In Proceedings of the 35th SIGMOD International Conference on Management of Data (SIGMOD), 2009. DOI:10.1145/1559845.1559850 http://research.microsoft.com/pubs/80218/sigmod115-mcsherry.pdf
17. F.McSherry and K.Talwar. Mechasim Design via Differential Privacy. Proceedings of the 48th Annual Symposium of Foundations of Computer Science, 2007. http://research.microsoft.com/pubs/65075/mdviadp.pdf
18. Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, Benjamin Rubinstein. Robust and Private Bayesian Inference. Algorithmic Learning Theory 2014 https://arxiv.org/abs/1306.1066
19. Dwork, Cynthia. "A firm foundation for private data analysis." Communications of the ACM 54.1 (2011): 86–95, supra note 19, page 91.
20. Bambauer, Jane, Krishnamurty Muralidhar, and Rathindra Sarathy. "Fool's gold: an illustrated critique of differential privacy." Vand. J. Ent. & Tech. L. 16 (2013): 701.
21. Dwork, Cynthia, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor. "Our data, ourselves: Privacy via distributed noise generation." In Advances in Cryptology-EUROCRYPT 2006, pp. 486–503. Springer Berlin Heidelberg, 2006.
22. Hall, Rob, Alessandro Rinaldo, and Larry Wasserman. "Random differential privacy." arXiv preprint arXiv:1112.2680 (2011).
23. Chatzikokolakis, Konstantinos, Miguel E. Andrés, Nicolás Emilio Bordenabe, and Catuscia Palamidessi. "Broadening the scope of Differential Privacy using metrics." In Privacy Enhancing Technologies, pp. 82–102. Springer Berlin Heidelberg, 2013.
24. Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, and Lars Vilhuber. "Privacy: Theory meets Practice on the Map". In Proceedings of the 24th International Conference on Data Engineering, (ICDE) 2008.
25. Úlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova. "RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response". In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS), 2014. arXiv:1407.6981 https://arxiv.org/abs/1407.6981
26. Tackling Urban Mobility with Technology by Andrew Eland. Google Policy Europe Blog, Nov 18, 2015. https://europe.googleblog.com/2015/11/tackling-urban-mobility-with-technology.html
27. "Apple - Press Info - Apple Previews iOS 10, the Biggest iOS Release Ever". https://www.apple.com/pr/library/2016/06/13Apple-Previews-iOS-10-The-Biggest-iOS-Release-Ever.html. Retrieved 16 June 2016. 
28. Fletcher, Sam; Islam, Md Zahidul (July 2017). "Differentially private random decision forests using smooth sensitivity". Expert Systems with Applications 78: 16–31. doi:10.1016/j.eswa.2017.01.034. http://www.sciencedirect.com/science/article/pii/S0957417417300428.