2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs
Zhiwei Wang, Haoqi He, Lutan Zhao +4
Fully homomorphic encryption (FHE) enables direct computation on encrypted data, making it a crucial technology for privacy protection. However, FHE suffers from significant perfor…
cs.AR2022★ 2 cited
TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU
Shengyu Fan, Zhiwei Wang, Weizhi Xu +3
In this paper, we propose TensorFHE, an FHE acceleration solution based on GPGPU for real applications on encrypted data. TensorFHE utilizes Tensor Core Units (TCUs) to boost the c…