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Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
27 September 2021
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
Amer Sinha
FedML
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Papers citing
"Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message"
29 / 29 papers shown
Title
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High
ε
\varepsilon
ε
Regime
Charlie Harrison
Pasin Manurangsi
24
0
0
07 Apr 2025
PREAMBLE: Private and Efficient Aggregation of Block Sparse Vectors and Applications
Hilal Asi
Vitaly Feldman
Hannah Keller
G. Rothblum
Kunal Talwar
FedML
54
1
0
14 Mar 2025
Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
Tal Wagner
FedML
48
0
0
21 Feb 2025
Segmented Private Data Aggregation in the Multi-message Shuffle Model
Shaowei Wang
Hongqiao Chen
Sufen Zeng
Ruilin Yang
Hui Jiang
...
Kaiqi Yu
Rundong Mei
Shaozheng Huang
Wei Yang
Bangzhou Xin
FedML
54
0
0
31 Dec 2024
Differential Privacy on Trust Graphs
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Serena Wang
18
1
0
15 Oct 2024
Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
Shaowei Wang
Changyu Dong
Xiangfu Song
Jin Li
Zhili Zhou
Di Wang
Han Wu
33
0
0
26 Jun 2024
Making Old Things New: A Unified Algorithm for Differentially Private Clustering
Max Dupré la Tour
Monika Henzinger
David Saulpic
FedML
33
1
0
17 Jun 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
Optimal Unbiased Randomizers for Regression with Label Differential Privacy
Ashwinkumar Badanidiyuru
Badih Ghazi
Pritish Kamath
Ravi Kumar
Ethan Leeman
Pasin Manurangsi
A. Varadarajan
Chiyuan Zhang
17
4
0
09 Dec 2023
Differentially Private Aggregation via Imperfect Shuffling
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Jelani Nelson
Samson Zhou
FedML
20
1
0
28 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
28
13
0
27 Jul 2023
Pure-DP Aggregation in the Shuffle Model: Error-Optimal and Communication-Efficient
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
18
2
0
28 May 2023
Amplification by Shuffling without Shuffling
Borja Balle
James Bell
Adria Gascon
FedML
22
2
0
18 May 2023
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang
FedML
13
9
0
11 Apr 2023
Multi-Message Shuffled Privacy in Federated Learning
Antonious M. Girgis
Suhas Diggavi
FedML
18
8
0
22 Feb 2023
Regression with Label Differential Privacy
Badih Ghazi
Pritish Kamath
Ravi Kumar
Ethan Leeman
Pasin Manurangsi
A. Varadarajan
Chiyuan Zhang
16
18
0
12 Dec 2022
Private Non-Convex Federated Learning Without a Trusted Server
Andrew Lowy
Ali Ghafelebashi
Meisam Razaviyayn
FedML
25
24
0
13 Mar 2022
Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation
Kunal Talwar
FedML
21
10
0
22 Feb 2022
Aggregation and Transformation of Vector-Valued Messages in the Shuffle Model of Differential Privacy
Mary Scott
Graham Cormode
Carsten Maple
32
11
0
31 Jan 2022
Transfer Learning In Differential Privacy's Hybrid-Model
Reʾuven Kohen
Or Sheffet
16
6
0
28 Jan 2022
Frequency Estimation in the Shuffle Model with Almost a Single Message
Qiyao Luo
Yilei Wang
K. Yi
FedML
30
11
0
12 Nov 2021
User-Level Private Learning via Correlated Sampling
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
FedML
21
13
0
21 Oct 2021
Infinitely Divisible Noise in the Low Privacy Regime
Rasmus Pagh
N. Stausholm
FedML
25
2
0
13 Oct 2021
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
FedML
24
48
0
08 Jun 2021
Instance-optimal Mean Estimation Under Differential Privacy
Ziyue Huang
Yuting Liang
K. Yi
13
57
0
01 Jun 2021
Locally Private k-Means in One Round
Alisa Chang
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
29
30
0
20 Apr 2021
Private Aggregation from Fewer Anonymous Messages
Badih Ghazi
Pasin Manurangsi
Rasmus Pagh
A. Velingker
FedML
37
55
0
24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
134
420
0
29 Nov 2018
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
1