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Differential Privacy in the Shuffle Model: A Survey of Separations
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Differential Privacy in the Shuffle Model: A Survey of Separations

Albert Cheu
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Papers citing "Differential Privacy in the Shuffle Model: A Survey of Separations"

8 / 8 papers shown
Title
Computationally Differentially Private Inner Product Protocols Imply Oblivious Transfer
Computationally Differentially Private Inner Product Protocols Imply Oblivious Transfer
Iftach Haitner
N. Mazor
Jad Silbak
Eliad Tsfadia
Chao Yan
86
1
0
21 Feb 2025
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow
Mireya Jurado
Ramon G. Gonze
Mário S. Alvim
C. Palamidessi
66
1
0
22 May 2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Andrea Gadotti
Frederick Sell
Reethika Ramesh
Jinyuan Jia
55
18
0
14 Apr 2023
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
113
56
0
16 Jun 2022
Shuffle Private Linear Contextual Bandits
Shuffle Private Linear Contextual Bandits
Sayak Ray Chowdhury
Xingyu Zhou
FedML
98
27
0
11 Feb 2022
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
C. Canonne
Hongyi Lyu
FedML
90
6
0
20 Aug 2021
Tight Accounting in the Shuffle Model of Differential Privacy
Tight Accounting in the Shuffle Model of Differential Privacy
A. Koskela
Mikko A. Heikkilä
Antti Honkela
FedML
65
17
0
01 Jun 2021
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
Kobbi Nissim
Chao Yan
138
1
0
29 Mar 2021

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