Homomorphic encryption enables private data sharing for digital health: winning entry to the Vinnova innovation competition Vinter 2021–22
Author:
Affiliation:
1. RISE Research Institutes of Sweden
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9832968/9833025/09833062.pdf?arnumber=9833062
Reference28 articles.
1. Bootstrapping for Approximate Homomorphic Encryption
2. FHEW: Bootstrapping Homomorphic Encryption in Less Than a Second
3. TFHE: Fast Fully Homomorphic Encryption Over the Torus
4. Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems
5. Machine Learning Classification over Encrypted Data
Cited by 3 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 Review of Homomorphic Encryption and its Contribution to the Sector of Health Services;Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics;2023-11-24
2. Privacy-Preserving sensitive data on Medical diagnosis using Federated Learning and Homomorphic Re-encryption;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
3. Homomorphic Encryption Enables Data and Algorithm Confidentiality for Remote Monitoring and Control: An Application to Data Center Systems;Companion Proceedings of the 14th ACM International Conference on Future Energy Systems;2023-06-20
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