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Differential Privacy in the Shuffle Model: A Survey of Separations
25 July 2021
Albert Cheu
FedML
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Papers citing
"Differential Privacy in the Shuffle Model: A Survey of Separations"
16 / 16 papers shown
Mutual Information Bounds in the Shuffle Model
Pengcheng Su
Haibo Cheng
Ping Wang
FedML
317
0
0
19 Nov 2025
Network-Aware Differential Privacy
Zhou Li
Yu Zheng
Tianhao Wang
Sang-Woo Jun
101
0
0
04 Sep 2025
How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations
Marc Damie
Florian Hahn
Andreas Peter
Jan Ramon
FedML
353
1
0
02 Jul 2025
Computationally Differentially Private Inner Product Protocols Imply Oblivious Transfer
Annual International Cryptology Conference (CRYPTO), 2025
Iftach Haitner
N. Mazor
Jad Silbak
Eliad Tsfadia
Chao Yan
236
1
0
21 Feb 2025
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
229
4
0
19 Aug 2023
Analyzing the Shuffle Model through the Lens of Quantitative Information Flow
IEEE Computer Security Foundations Symposium (CSF), 2023
Mireya Jurado
Ramon G. Gonze
Mário S. Alvim
C. Palamidessi
173
5
0
22 May 2023
Robust and differentially private stochastic linear bandits
Vasileios Charisopoulos
Hossein Esfandiari
Vahab Mirrokni
FedML
209
1
0
23 Apr 2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
USENIX Security Symposium (USENIX Security), 2023
Andrea Gadotti
Frederick Sell
Reethika Ramesh
Jinyuan Jia
154
25
0
14 Apr 2023
Necessary Conditions in Multi-Server Differential Privacy
Information Technology Convergence and Services (ITCS), 2022
Albert Cheu
Chao Yan
164
9
0
17 Aug 2022
Shuffle Gaussian Mechanism for Differential Privacy
Seng Pei Liew
Tsubasa Takahashi
FedML
189
2
0
20 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2022
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
300
69
0
16 Jun 2022
Shuffle Private Linear Contextual Bandits
International Conference on Machine Learning (ICML), 2022
Sayak Ray Chowdhury
Xingyu Zhou
FedML
285
28
0
11 Feb 2022
Pure Differential Privacy from Secure Intermediaries
Albert Cheu
Chao Yan
FedML
230
10
0
19 Dec 2021
Uniformity Testing in the Shuffle Model: Simpler, Better, Faster
C. Canonne
Hongyi Lyu
FedML
224
6
0
20 Aug 2021
Tight Accounting in the Shuffle Model of Differential Privacy
A. Koskela
Mikko A. Heikkilä
Antti Honkela
FedML
220
19
0
01 Jun 2021
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
Journal of Privacy and Confidentiality (JPC), 2021
Kobbi Nissim
Chao Yan
360
1
0
29 Mar 2021
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