
GitHub - scale-snu/ckks-gpu-core
This repository includes GPU implementations of the core functions for CKKS (e.g., base conversions, NTT, key-switching, etc.) to reproduce the results in the paper Over 100x Faster Bootstrapping in …
Toward Lossless Homomorphic Encryption for Scientific Computation
Sep 13, 2023 · The insights gleaned from the research set a robust foundation for future innovations, including the potential for GPU acceleration in CKKS computations within TenSEAL.
tenseal · PyPI
Feb 20, 2025 · TenSEAL is a library for doing homomorphic encryption operations on tensors, built on top of Microsoft SEAL. It provides ease of use through a Python API, while preserving efficiency by …
We used the CKKSVector implementation, which uses the CKKS scheme. Knowing that we need 6 multiplications to perform the evaluation and a security level of 128-bits, we set the polynomial …
Coupled with harnessing the computational prowess of graphics processing units (GPUs), our experimental results showcase remarkable achievements, with processing times reduced by up to …
cnn-for-ckks/pytorch-for-tenseal | DeepWiki
May 1, 2025 · By leveraging the TenSEAL library (which implements the CKKS homomorphic encryption scheme), it enables computationally complex operations like convolutions, matrix multiplications, and …
ckks-gpu-core: CKKS GPU - Gitee
This repository includes GPU implementations of the core functions for CKKS (e.g., base conversions, NTT, key-switching, etc.) to reproduce the results in the paper Over 100x Faster Bootstrapping in …
Tenseal Support for GPU · Issue #456 · OpenMined/TenSEAL - GitHub
Aug 28, 2023 · Does Tenseal have GPU support (CUDA) for CKKS? if not, is the team working on something similar? Since the scaling factor is something that is attributed to the precision of the …
We perform optimizations from instruction level, algorithmic level and application level to accelerate our HE library based on the Cheon, Kim, Kim and Song (CKKS) scheme on Intel GPUs. The …
Encrypted Arithmetic Library (SEAL) is referenced to eciently utilize the CKKS scheme. This thesis enhances the performance of the fundamental CKKS operations by leveraging the Gra. hics …