Achieving Secure and Differentially Private Computations in Multiparty Settings

Author:

Acar Abbas,Celik Z. Berkay,Aksu Hidayet,Uluagac A. Selcuk,McDaniel Patrick

Publisher

IEEE

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Secure Noise Sampling for DP in MPC with Finite Precision;Proceedings of the 19th International Conference on Availability, Reliability and Security;2024-07-30

2. FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks;Annual Computer Security Applications Conference;2023-12-04

3. TPMDP: Threshold Personalized Multi-party Differential Privacy via Optimal Gaussian Mechanism;2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS);2023-09-25

4. Differential privacy: Review of improving utility through cryptography‐based technologies;Concurrency and Computation: Practice and Experience;2022-12-13

5. Selective MPC;Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security;2022-11-07

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