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Applying the Shuffle Model of Differential Privacy to Vector Aggregation

Applying the Shuffle Model of Differential Privacy to Vector Aggregation

10 December 2021
Mary Scott
Graham Cormode
Carsten Maple
    FedML
ArXivPDFHTML

Papers citing "Applying the Shuffle Model of Differential Privacy to Vector Aggregation"

6 / 6 papers shown
Title
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
Tal Wagner
FedML
55
0
0
21 Feb 2025
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates
  Require Many Messages
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
40
5
0
16 Apr 2024
Aggregation and Transformation of Vector-Valued Messages in the Shuffle
  Model of Differential Privacy
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy
Mary Scott
Graham Cormode
Carsten Maple
58
11
0
31 Jan 2022
Improved Summation from Shuffling
Improved Summation from Shuffling
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
53
22
0
24 Sep 2019
Private Aggregation from Fewer Anonymous Messages
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
56
55
0
24 Sep 2019
Prochlo: Strong Privacy for Analytics in the Crowd
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
91
278
0
02 Oct 2017
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