On Fully Homomorphic Encryption for Privacy-Preserving Deep Learning-Reference-Cited by-同舟云学术

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On Fully Homomorphic Encryption for Privacy-Preserving Deep Learning

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Globecom Workshops (GC Wkshps)
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Author:

Hernandez Marcano Nestor J.,Moller Mads,Hansen Soren,Jacobsen Rune Hylsberg

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9006988/9024317/09024625.pdf?arnumber=9024625

Cited by 13 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. Encrypted Data Caching and Learning Framework for Robust Federated Learning-Based Mobile Edge Computing;IEEE/ACM Transactions on Networking;2024-06

2. From Principle to Practice: Vertical Data Minimization for Machine Learning;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

3. A deep study of analysis for encryption and decryption algorithm in cloud data with machine learning techniques;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

4. High-throughput and fully-pipelined ciphertext multiplier for homomorphic encryption;IEICE Electronics Express;2024-03-25

5. Deep Neural Network Model over Encrypted Data;Communications in Computer and Information Science;2024

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