Enhancing Medical Data Privacy: Neural Network Inference with Fully Homomorphic Encryption

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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Bibliographic Details
Main Authors: Maulyanda Maulyanda, Rini Deviani, Afdhaluzzikri Afdhaluzzikri
Format: Article
Language:Indonesian
Published: LP3M Universitas Nurul Jadid 2025-04-01
Series:Journal of Electrical Engineering and Computer
Subjects:
fully homomorphic
encryption
data privacy
neural network inference
Online Access:https://ejournal.unuja.ac.id/index.php/jeecom/article/view/10875
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