Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy

31 January 2022

Papers citing "Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy"

7 / 7 papers shown

Title
Distributed, communication-efficient, and differentially private estimation of KL divergence Mary Scott Sayan Biswas Graham Cormode Carsten Maple FedML 65 0 0 25 Nov 2024
Enhanced Privacy Bound for Shuffle Model with Personalized Privacy Yi-xiao Liu Yuhan Liu Li Xiong Yujie Gu Hong Chen FedML 37 0 0 25 Jul 2024
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar Samson Zhou FedML 24 5 0 16 Apr 2024
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh Amer Sinha FedML 52 36 0 27 Sep 2021
Improved Summation from Shuffling Borja Balle James Bell Adria Gascon Kobbi Nissim FedML 43 22 0 24 Sep 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 37 55 0 24 Sep 2019
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 79 278 0 02 Oct 2017