HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE

Privacy-preserving and verifiable convolution neural network inference and training in cloud computing

W Cao, W Shen, J Qin, H Lin - Future Generation Computer Systems, 2024 - Elsevier
With the rapid development of cloud computing, outsourcing massive data and complex
deep learning model to cloud servers (CSs) has become a popular trend, which also brings …
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Enhancing paillier to fully homomorphic encryption with semi-honest TEE

Y Fang, X Yang, H Zhu, W Xu, Y Zheng, X Liu… - Peer-to-Peer Networking …, 2024 - Springer
Homomorphic encryption (HE) is an innovative privacy protection technique supporting
homomorphic addition and multiplication. It has been widely applied in the applications of …
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