Game Theory Based Correlated Privacy Preserving Analysis in Big Data
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Information Systems and Management,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/6687317/7153538/07920335.pdf?arnumber=7920335
Cited by 28 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. A Game-theoretic Framework for Privacy-preserving Federated Learning;ACM Transactions on Intelligent Systems and Technology;2024-05-17
2. The Economics of Privacy and Utility: Investment Strategies;IEEE Transactions on Information Forensics and Security;2024
3. ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing;IEEE Transactions on Big Data;2023-08-01
4. A game-theoretic approach for federated learning: A trade-off among privacy, accuracy and energy;Digital Communications and Networks;2023-01
5. Graph-Based Data Publication via Differentially Structural Inference;IEEE Transactions on Network and Service Management;2023
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