Open raprasad opened 4 years ago
From @ctcovington https://tworavens.slack.com/archives/CRNSFC508/p1588104720021900?thread_ts=1588095160.013400&cid=CRNSFC508
Exponential [1] Gaussian [2] Geometric [3][4] Laplace [5] DPCount [3] DPHistogram [3][4] DPMean [5] DPSum [5] DPVariance [6]
[1] F. McSherry and K. Talwar, "Mechanism Design via Differential Privacy," 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), Providence, RI, 2007, pp. 94-103, doi: 10.1109/FOCS.2007.66. https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/mdviadp.pdf
[2] Cynthia Dwork and Aaron Roth. 2014. The Algorithmic Foundations of Differential Privacy. Found. Trends Theor. Comput. Sci. 9, 3–4 (August 2014), 211–407. DOI:https://doi.org/10.1561/0400000042 https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
[3] Arpita Ghosh, Tim Roughgarden, and Mukund Sundararajan. 2009. Universally utility-maximizing privacy mechanisms. In Proceedings of the forty-first annual ACM symposium on Theory of computing (STOC '09). Association for Computing Machinery, New York, NY, USA, 351–360. DOI:https://doi.org/10.1145/1536414.1536464 https://theory.stanford.edu/~tim/papers/priv.pdf
[4] Balcer, Victor, and Salil Vadhan. 2019. “Differential Privacy on Finite Computers”. Journal of Privacy and Confidentiality 9 (2). https://doi.org/10.29012/jpc.679. https://arxiv.org/pdf/1709.05396.pdf
[5] 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). Springer-Verlag, Berlin, Heidelberg, 265–284. DOI:https://doi.org/10.1007/11681878_14 https://people.csail.mit.edu/asmith/PS/sensitivity-tcc-final.pdf
[6] D'Orazio, V., Honaker, J., & King, G. (2015). Differential Privacy for Social Science Inference. Alfred P. Sloan Foundation Economic Research Paper Series. http://hona.kr/papers/files/DOrazioHonakerKingPrivacy.pdf
@Shoeboxam: in case you need the list of references here is the link to references back in April: https://github.com/opendifferentialprivacy/whitenoise-core/commit/b7d02dd4b42888b21fcb01a800f9be3d1399b51d?short_path=b54f825#diff-b54f825f2b86f2a31c03f7241747cf90
In a shared google sheet (or similar):