This is a preserved file from MMM Spring 2019. An updated version may exist at https://uvammm.github.io/

Class 24: Privacy

Schedule

Your Final Project Proposal is due tonight at 8:59pm.

Slides



Download (full resolution) PDF

Links

Stanley Warner. Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias, Journal of the American Statistical Association, March 1965.

Cynthia Dwork and Aaron Roth. The Algorithmic Foundations of Differential Privacy. NOW Foundations and Trends in Theoretical Computer Science, 2014.

Burton H. Bloom. Space/Time Trade-offs in Hash Coding with Allowable Errors, Communications of the ACM, July 1970.

Ăšlfar Erlingsson, Vasyl Pihur, Aleksandra Korolova. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response. ACM CCS 2014. Code: https://github.com/google/rappor.

Privacy-Preserving Machine Learning.
Bargav Jayaraman and David Evans. When Relaxations Go Bad: “Differentially-Private” Machine Learning. February 2019.