Plume: Differential Privacy at Scale

27 January 2022

Papers citing "Plume: Differential Privacy at Scale"

5 / 5 papers shown

Title
Private Count Release: A Simple and Scalable Approach for Private Data Analytics Ryan Rogers 34 0 0 08 Mar 2024
Some Constructions of Private, Efficient, and Optimal $K$ -Norm and Elliptic Gaussian Noise Matthew Joseph Alexander Yu 21 2 0 27 Sep 2023
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection Marika Swanberg Damien Desfontaines Samuel Haney 36 6 0 05 Jan 2023
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 132 119 0 07 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 156 349 0 25 Sep 2021