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Differential Privacy in the Shuffle Model: A Survey of Separations

v1v2 (latest)

Differential Privacy in the Shuffle Model: A Survey of Separations

25 July 2021

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

17 / 17 papers shown

Mutual Information Bounds in the Shuffle Model

Mutual Information Bounds in the Shuffle Model

335

0

0

19 Nov 2025

Network-Aware Differential Privacy

Network-Aware Differential Privacy

105

0

0

04 Sep 2025

How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations

How to Securely Shuffle? A survey about Secure Shufflers for privacy-preserving computations

370

1

0

02 Jul 2025

Computationally Differentially Private Inner Product Protocols Imply Oblivious Transfer

Computationally Differentially Private Inner Product Protocols Imply Oblivious TransferAnnual International Cryptology Conference (CRYPTO), 2025

244

1

0

21 Feb 2025

DPMAC: Differentially Private Communication for Cooperative Multi-Agent
Reinforcement Learning

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023

Baoxiang Wang

Shuai Li

229

4

0

19 Aug 2023

Analyzing the Shuffle Model through the Lens of Quantitative Information
Flow

Analyzing the Shuffle Model through the Lens of Quantitative Information FlowIEEE Computer Security Foundations Symposium (CSF), 2023

Mário S. Alvim

176

5

0

22 May 2023

Amplification by Shuffling without Shuffling

Amplification by Shuffling without ShufflingConference on Computer and Communications Security (CCS), 2023

274

4

0

18 May 2023

Robust and differentially private stochastic linear bandits

Robust and differentially private stochastic linear bandits

Vasileios Charisopoulos

Hossein Esfandiari

Vahab Mirrokni

212

1

0

23 Apr 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 PracticeUSENIX Security Symposium (USENIX Security), 2023

Reethika Ramesh

160

27

0

14 Apr 2023

Necessary Conditions in Multi-Server Differential Privacy

Necessary Conditions in Multi-Server Differential PrivacyInformation Technology Convergence and Services (ITCS), 2022

175

9

0

17 Aug 2022

Shuffle Gaussian Mechanism for Differential Privacy

Shuffle Gaussian Mechanism for Differential Privacy

Tsubasa Takahashi

193

2

0

20 Jun 2022

On Privacy and Personalization in Cross-Silo Federated Learning

On Privacy and Personalization in Cross-Silo Federated LearningNeural Information Processing Systems (NeurIPS), 2022

Zhiwei Steven Wu

316

70

0

16 Jun 2022

Shuffle Private Linear Contextual Bandits

Shuffle Private Linear Contextual BanditsInternational Conference on Machine Learning (ICML), 2022

Sayak Ray Chowdhury

285

28

0

11 Feb 2022

Pure Differential Privacy from Secure Intermediaries

Pure Differential Privacy from Secure Intermediaries

238

10

0

19 Dec 2021

Uniformity Testing in the Shuffle Model: Simpler, Better, Faster

Uniformity Testing in the Shuffle Model: Simpler, Better, Faster

234

6

0

20 Aug 2021

Tight Accounting in the Shuffle Model of Differential Privacy

Tight Accounting in the Shuffle Model of Differential Privacy

Mikko A. Heikkilä

223

19

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 ModelJournal of Privacy and Confidentiality (JPC), 2021

365

1

0

29 Mar 2021

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