Differential Privacy and Its Application

作者: Tianqing Zhu

DOI:

关键词: Internet privacyDifferential privacyPrivacy softwareComputer sciencePoint (typography)

摘要: While the thesis reports our research in extending theory of differential privacy to real world application, many interesting and promising issues remain unexplored. This can be a starting point for new challenges because they precisely demonstrate how extended real-world scenarios.

参考文章(91)
Andreas Haeberlen, Benjamin C. Pierce, Arjun Narayan, Differential privacy under fire usenix security symposium. pp. 33- 33 ,(2011)
Ilya Mironov, Omkant Pandey, Omer Reingold, Salil Vadhan, Computational Differential Privacy international cryptology conference. pp. 126- 142 ,(2009) , 10.1007/978-3-642-03356-8_8
Huseyin Polat, Wenliang Du, Achieving private recommendations using randomized response techniques knowledge discovery and data mining. pp. 637- 646 ,(2006) , 10.1007/11731139_73
Amos Beimel, Shiva Prasad Kasiviswanathan, Kobbi Nissim, Bounds on the sample complexity for private learning and private data release theory of cryptography conference. pp. 437- 454 ,(2010) , 10.1007/978-3-642-11799-2_26
Yehuda Lindell, Benny Pinkas, Privacy Preserving Data Mining international cryptology conference. pp. 36- 54 ,(2000) , 10.1007/3-540-44598-6_3
Robert Jäschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, Gerd Stumme, None, Tag Recommendations in Folksonomies european conference on principles of data mining and knowledge discovery. pp. 506- 514 ,(2007) , 10.1007/978-3-540-74976-9_52
Anupam Gupta, Aaron Roth, Jonathan Ullman, Iterative constructions and private data release theory of cryptography conference. ,vol. 7194, pp. 339- 356 ,(2012) , 10.1007/978-3-642-28914-9_19
Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam Smith, Calibrating Noise to Sensitivity in Private Data Analysis Theory of Cryptography. ,vol. 3876, pp. 265- 284 ,(2006) , 10.1007/11681878_14
David M Blei, Andrew Y Ng, Michael I Jordan, None, Latent dirichlet allocation Journal of Machine Learning Research. ,vol. 3, pp. 993- 1022 ,(2003) , 10.5555/944919.944937