Privacy Preserving Synthetic Data Release Using Deep Learning

Author:

Abay Nazmiye CerenORCID,Zhou YanORCID,Kantarcioglu MuratORCID,Thuraisingham BhavaniORCID,Sweeney LatanyaORCID

Publisher

Springer International Publishing

Cited by 59 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. VertiMRF: Differentially Private Vertical Federated Data Synthesis;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. GovSynBayes: release of synthetic government microdata from multisources via Bayesian networks;Service Oriented Computing and Applications;2024-08-12

3. Collaborative learning from distributed data with differentially private synthetic data;BMC Medical Informatics and Decision Making;2024-06-14

4. SoK: Privacy-Preserving Data Synthesis;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

5. Improving Privacy and Utility in Aggregate Data: A Hybrid Approach;2024-05-06

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