Cover Image

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Murakami, Takao, Sei, Yuichi, Eriguchi, Reo
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
by: Murakami, Takao, et al.
Published: (2025)

Single-Shuffle Full-Open Card-Based Protocols for Any Function
by: Eriguchi, Reo, et al.
Published: (2025)

Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
by: Li, Xiaoguang, et al.
Published: (2026)

Communication-Efficient Triangle Counting under Local Differential Privacy
by: Imola, Jacob, et al.
Published: (2021)

Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
by: Hidano, Seira, et al.
Published: (2022)

Efficient Fault-Tolerant Quantum Protocol for Differential Privacy in the Shuffle Model
by: Asghar, Hassan Jameel, et al.
Published: (2024)

Federated Graph Analytics with Differential Privacy
by: Liu, Shang, et al.
Published: (2024)

Tight Differential Privacy Guarantees for the Shuffle Model with $k$-Randomized Response
by: Biswas, Sayan, et al.
Published: (2022)

Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
by: Bontekoe, Tariq, et al.
Published: (2024)

RAIN: Secure and Robust Aggregation under Shuffle Model of Differential Privacy
by: Li, Yuhang, et al.
Published: (2026)

KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation
by: Xu, Jingnan, et al.
Published: (2025)

Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy
by: Xu, Shuangqing, et al.
Published: (2024)

Data Poisoning Attacks to Locally Differentially Private Range Query Protocols
by: Liao, Ting-Wei, et al.
Published: (2025)

A Complexity Hierarchy of Shuffles in Card-Based Protocols
by: Ono, Tomoki, et al.
Published: (2026)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)

Benchmarking Secure Sampling Protocols for Differential Privacy
by: Fu, Yucheng, et al.
Published: (2024)

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
by: Liu, Yixuan, et al.
Published: (2024)

Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams
by: Li, Xinyu, et al.
Published: (2025)

Near-Optimal Reinforcement Learning with Shuffle Differential Privacy
by: Bai, Shaojie, et al.
Published: (2024)

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened
by: Wang, Shaowei, et al.
Published: (2023)

Decomposition-Based Optimal Bounds for Privacy Amplification via Shuffling
by: Su, Pengcheng, et al.
Published: (2025)

Poisoning Attacks to Local Differential Privacy Protocols for Trajectory Data
by: Hsu, I-Jung, et al.
Published: (2025)

Almost Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy
by: Dong, Wei, et al.
Published: (2024)

Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
by: Wagner, Tal
Published: (2025)

A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
by: Rogers, Ryan
Published: (2023)

A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
by: Chen, E, et al.
Published: (2023)

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
by: Chen, Zhuo, et al.
Published: (2025)

Analysis of Shuffling Beyond Pure Local Differential Privacy
by: Takagi, Shun, et al.
Published: (2026)

To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2024)

A Lightweight Incentive-Based Privacy-Preserving Smart Metering Protocol for Value-Added Services
by: Zaredar, Farid, et al.
Published: (2025)

Shuffling for Semantic Secrecy
by: Chen, Fupei, et al.
Published: (2025)

Segmented Private Data Aggregation in the Multi-message Shuffle Model
by: Wang, Shaowei, et al.
Published: (2024)

Mitigating Data Poisoning Attacks to Local Differential Privacy
by: Li, Xiaolin, et al.
Published: (2025)

LDP$^3$: An Extensible and Multi-Threaded Toolkit for Local Differential Privacy Protocols and Post-Processing Methods
by: Balioglu, Berkay Kemal, et al.
Published: (2025)

Revisiting Locally Differentially Private Protocols: Towards Better Trade-offs in Privacy, Utility, and Attack Resistance
by: Arcolezi, Héber H., et al.
Published: (2025)

Beyond Code Reasoning: Specification-Anchored Auditing of Multi-Implementation Distributed Protocols
by: Kamba, Masato, et al.
Published: (2026)

The Complexities of Differential Privacy for Survey Data
by: Drechsler, Jörg, et al.
Published: (2024)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
by: Riess, Anneliese, et al.
Published: (2026)

Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
by: Sedraoui, Brahim Khalil, et al.
Published: (2026)