Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption
Protecting the privacy of medical data while enabling sophisticated data analysis is a critical challenge in modern healthcare. Fully Homomorphic Encryption (FHE) emerges as a powerful solution, enabling computations to be performed directly on encrypted data without exposing sensitive information....
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Indonésio |
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LP3M Universitas Nurul Jadid
2025-04-01
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| Serie: | Journal of Electrical Engineering and Computer |
| Soggetti: | |
| Accesso online: | https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10875 |
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