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2407.19639
Cited By
Segmented Private Data Aggregation in the Multi-message Shuffle Model
31 December 2024
Shaowei Wang
Hongqiao Chen
Sufen Zeng
Ruilin Yang
Hui Jiang
Peigen Ye
Kaiqi Yu
Rundong Mei
Shaozheng Huang
Wei Yang
Bangzhou Xin
FedML
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Papers citing
"Segmented Private Data Aggregation in the Multi-message Shuffle Model"
16 / 16 papers shown
Title
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
77
12
0
27 Jul 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
Yi-xiao Liu
Suyun Zhao
Li Xiong
Yuhan Liu
Hong Chen
FedML
38
9
0
11 Apr 2023
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Shaowei Wang
FedML
56
9
0
11 Apr 2023
Multi-Message Shuffled Privacy in Federated Learning
Antonious M. Girgis
Suhas Diggavi
FedML
44
8
0
22 Feb 2023
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
65
48
0
09 Aug 2022
Frequency Estimation in the Shuffle Model with Almost a Single Message
Qiyao Luo
Yilei Wang
K. Yi
FedML
45
11
0
12 Nov 2021
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
77
36
0
27 Sep 2021
Differentially Private Histograms in the Shuffle Model from Fake Users
Albert Cheu
M. Zhilyaev
FedML
64
27
0
06 Apr 2021
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
44
159
0
23 Dec 2020
The Privacy Blanket of the Shuffle Model
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
59
237
0
07 Mar 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
167
423
0
29 Nov 2018
Distributed Differential Privacy via Shuffling
Albert Cheu
Adam D. Smith
Jonathan R. Ullman
David Zeber
M. Zhilyaev
FedML
78
349
0
04 Aug 2018
Collecting Telemetry Data Privately
Bolin Ding
Janardhan Kulkarni
Sergey Yekhanin
40
676
0
05 Dec 2017
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12
Jun Tang
Aleksandra Korolova
Xiaolong Bai
Xueqiang Wang
Xiaofeng Wang
30
287
0
08 Sep 2017
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
59
1,977
0
25 Jul 2014
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
99
1,459
0
06 Mar 2008
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