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Putting Differential Privacy to Work

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Putting Differential Privacy to Work | privacy.cis.upenn.edu Reviews

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Putting Differential Privacy to Work

http://privacy.cis.upenn.edu/index.html

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Putting Differential Privacy to Work

http://privacy.cis.upenn.edu/contributors.html

Emilio Jesús Gallego Arias.

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Putting Differential Privacy to Work

http://privacy.cis.upenn.edu/software.html

The current Fuzz distribution is v0.1.3.4. Warning: Research prototype - not for production use! You can also download an extended version of Fuzz. That can infer sensitivity annotations automatically. This version additionally requires the Z3 SMT solver. Our USENIX Security paper. Gives an overview of Fuzz. If you would like to experiment with Fuzz, you may find this brief tutorial. The source code for our attacks on PINQ. Is also available. Please read Section 3.5 of the Fuzz paper.

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Putting Differential Privacy to Work

http://privacy.cis.upenn.edu/publications.html

Private algorithms for the protected in social network search. Michael Kearns, Aaron Roth, Zhiwei Steven Wu, Grigory Yaroslavtsev. Proving differential privacy via probabilistic couplings. Gilles Barthe, Marco Gaboardi, Benjamin Grégoire, Justin Hsu, Pierre-Yves Strub. New York, NY, July 2016. Adaptive Learning with Robust Generalization Guarantees. Rachel Cummings, Katrina Ligett, Zhiwei Steven Wu, Aaron Roth, Kobbi Nissim. New York, NY, June 2016. Do prices coordinate markets? Cambridge, MA, June 2016.

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Andreas Haeberlen

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Department of Computer and Information Science. 3330 Walnut Street, Philadelphia, PA 19104-6389. E-mail: ahae (at) cis (dot) upenn (another dot) edu. Phone: 1 (215) 746-6167. Defenses against denial-of-service attacks. And on differential privacy. I was awarded the Otto Hahn Medal. By the Max Planck Society. For my research on accountability, and I am the recipient of a NSF CAREER award. As well as the Ford Motor Company Award for Faculty Advising. I am currently looking for new PhD students. Ang Chen, Y...

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