University of Minnesota
Security and Privacy in Computing

Readings on: Differential privacy

Optional background reading: Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith. “Calibrating Noise to Sensitivity in Private Data Analysis” In Theory of Cryptography Conference (TCC), pages 265–284, New York, NY, USA, March 2006.

Reading for Tuesday, February 15th: Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova. “RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response” In ACM Conference on Computer and Communications Security (CCS), pages 1054–1067, Scottsdale, AZ, USA, November 2014.

Candidate reading (not selected): Tianhao Wang, Jeremiah Blocki, Ninghui Li, and Somesh Jha. “Locally Differentially Private Protocols for Frequency Estimation” In USENIX Security Symposium, pages 729–745, Vancouver, BC, Canada, August 2017.

Candidate reading (not selected): Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon Lin, David Page, and Thomas Ristenpart “Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing” In USENIX Security Symposium, pages 17–32, San Diego, CA, USA, August 2014.

Candidate reading (not selected): Ilya Mironov. “On significance of the least significant bits for differential privacy”. In ACM Conference on Computer and Communications Security, pages 650–661, Raleigh, NC, USA, November 2012.

Reading for Thursday, February 17th: Christopher T. Kenny, Shiro Kuriwaki, Cory McCartan, Evan Rosenman, Tyler Simko, and Kosuke Imai. “The Use of Differential Privacy for Census Data and its Impact on Redistricting: The Case of the 2020 U.S. Census”. In Science Advances, Vol. 7, No. 7 (October 2021), pages 1-17.
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