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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
Samplable Anonymous Aggregation for Private Federated Data Analysis
Conference on Computer and Communications Security (CCS), 2023
Kunal Talwar
Shan Wang
Audra McMillan
Vojta Jina
Vitaly Feldman
...
Congzheng Song
Karl Tarbe
Sebastian Vogt
L. Winstrom
Shundong Zhou
FedML
503
20
0
27 Jul 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yi-xiao Liu
Suyun Zhao
Li Xiong
Yuhan Liu
Hong Chen
FedML
227
18
0
11 Apr 2023
Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
Proceedings of the VLDB Endowment (PVLDB), 2023
Shaowei Wang
FedML
641
14
0
11 Apr 2023
Multi-Message Shuffled Privacy in Federated Learning
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2023
Antonious M. Girgis
Suhas Diggavi
FedML
307
10
0
22 Feb 2023
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2022
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
279
65
0
09 Aug 2022
Frequency Estimation in the Shuffle Model with Almost a Single Message
Conference on Computer and Communications Security (CCS), 2021
Qiyao Luo
Yilei Wang
K. Yi
FedML
302
19
0
12 Nov 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
International Conference on Machine Learning (ICML), 2021
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Rasmus Pagh
Amer Sinha
FedML
409
42
0
27 Sep 2021
Differentially Private Histograms in the Shuffle Model from Fake Users
IEEE Symposium on Security and Privacy (IEEE S&P), 2021
Albert Cheu
M. Zhilyaev
FedML
561
38
0
06 Apr 2021
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling
IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2020
Vitaly Feldman
Audra McMillan
Kunal Talwar
FedML
601
189
0
23 Dec 2020
The Privacy Blanket of the Shuffle Model
Borja Balle
James Bell
Adria Gascon
Kobbi Nissim
FedML
363
275
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
616
492
0
29 Nov 2018
Distributed Differential Privacy via Shuffling
Albert Cheu
Adam D. Smith
Jonathan R. Ullman
David Zeber
M. Zhilyaev
FedML
615
410
0
04 Aug 2018
Collecting Telemetry Data Privately
Bolin Ding
Janardhan Kulkarni
Sergey Yekhanin
434
778
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
Luyi Xing
537
313
0
08 Sep 2017
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Conference on Computer and Communications Security (CCS), 2014
Ulfar Erlingsson
Vasyl Pihur
Aleksandra Korolova
529
2,219
0
25 Jul 2014
What Can We Learn Privately?
S. Kasiviswanathan
Homin K. Lee
Kobbi Nissim
Sofya Raskhodnikova
Adam D. Smith
896
1,611
0
06 Mar 2008
1
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