Differential Privacy Papers

S&P 2022

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems Jiankai Jin (The University of Melbourne, Australia), Eleanor McMurtry (ETH Zurich), Benjamin Rubinstein (University of Melbourne, Australia), Olga Ohrimenko (The University of Melbourne)

Differential Privacy and Swapping: Examining De-Identification’s Impact on Minority Representation and Privacy Preservation in the U.S. Census Sarah Radway (Tufts University), Miranda Christ (Columbia University), Steven Bellovin (Columbia University)

Differentially Private Histograms in the Shuffle Model from Fake Users Albert Cheu (Georgetown University), Maxim Zhilyaev (MindStrong Inc.)

Locally Differentially Private Sparse Vector Aggregation Mingxun Zhou (Carnegie Mellon University), Tianhao Wang (Carnegie Mellon University and University of Virginia), T-H. Hubert Chan (The University of Hong Kong), Giulia Fanti (Carnegie Mellon University), Elaine Shi (Carnegie Mellon University)

Statistical Quantification of Differential Privacy: A Local Approach Önder Askin (Ruhr-University Bochum), Tim Kutta (Ruhr-University Bochum), Holger Dette (Ruhr-University Bochum)