:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zetzsche, Stefan, Tristan, Jean-Baptiste, Lepoint, Tancrede, Mayer, Mikael
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2501.06084
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Verified Foundations for Differential Privacy
by: de Medeiros, Markus, et al.
Published: (2024)

Make Shuffling Great Again: A Side-Channel Resistant Fisher-Yates Algorithm for Protecting Neural Networks
by: Puškáč, Leonard, et al.
Published: (2025)

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

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

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

Bayesian Advantage of Re-Identification Attack in the Shuffle Model
by: Su, Pengcheng, et al.
Published: (2025)

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

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)

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

Verifiable Encodings for Secure Homomorphic Analytics
by: Chatel, Sylvain, et al.
Published: (2022)

Mutual Information Bounds in the Shuffle Model
by: Su, Pengcheng, et al.
Published: (2025)

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

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

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

Defense against Poisoning Attacks under Shuffle-DP
by: Wang, Siyi, et al.
Published: (2026)

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

Trusted Compute Units: A Framework for Chained Verifiable Computations
by: Castillo, Fernando, et al.
Published: (2025)

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

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

A Hardware-Friendly Shuffling Countermeasure Against Side-Channel Attacks for Kyber
by: Xu, Dejun, et al.
Published: (2024)

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
by: Li, Zhengyi, et al.
Published: (2026)

Augmented Shuffle Differential Privacy Protocols for Large-Domain Categorical and Key-Value Data
by: Murakami, Takao, et al.
Published: (2025)

CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
by: Chen, Zhuo, 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)

Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling
by: Athanasiou, Andreas, et al.
Published: (2024)

State of the Art Report: Verified Computation
by: Woodcock, Jim, et al.
Published: (2023)

Weights Shuffling for Improving DPSGD in Transformer-based Models
by: Yang, Jungang, et al.
Published: (2024)

Time-Delayed Publicly Verifiable Quantum Computation for Classical Verifiers
by: Mohammed, Ameer, et al.
Published: (2026)

A Simple Data Exfiltration Game
by: Caulfield, Tristan
Published: (2025)

Verifiable Differential Privacy
by: Biswas, Ari, et al.
Published: (2022)

Fooling SHAP with Output Shuffling Attacks
by: Yuan, Jun, et al.
Published: (2024)

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

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

Beyond Statistical Estimation: Differentially Private Individual Computation via Shuffling
by: Wang, Shaowei, et al.
Published: (2024)

Verifiable Weighted Secret Sharing
by: Shehata, Kareem, et al.
Published: (2025)

Verifiable Privacy-Preserving Computing
by: Bontekoe, Tariq, et al.
Published: (2023)

Servicifying zk-SNARKs Execution for Verifiable Off-chain Computations
by: Domenech, Alvaro Alonso, et al.
Published: (2024)

Verifiable Exponential Mechanism for Median Estimation
by: Kwon, Hyukjun, et al.
Published: (2025)

Cryptographic Verifiability for Voter Registration Systems
by: Fábrega, Andrés, et al.
Published: (2025)