Tensorfhe: Achieving practical computation on encrypted data using gpgpu

S Fan, Z Wang, W Xu, R Hou, D Meng… - … Symposium on High …, 2023 - ieeexplore.ieee.org
In the cloud computing era, privacy protection is becoming pervasive in a broad range of
applications (eg, machine learning, data mining, etc). Fully Homomorphic Encryption (FHE) …

Efficient number theoretic transform implementation on GPU for homomorphic encryption

Ö Özerk, C Elgezen, AC Mert, E Öztürk… - The Journal of …, 2022 - Springer
Lattice-based cryptography forms the mathematical basis for current homomorphic
encryption schemes, which allows computation directly on encrypted data. Homomorphic …

Accelerating polynomial multiplication for homomorphic encryption on GPUs

K Shivdikar, G Jonatan, E Mora… - … on Secure and …, 2022 - ieeexplore.ieee.org
Homomorphic Encryption (HE) enables users to securely outsource both the storage and
computation of sensitive data to untrusted servers. Not only does HE offer an attractive …

CARM: CUDA-accelerated RNS multiplication in word-wise homomorphic encryption schemes for internet of things

S Shen, H Yang, Y Liu, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Homomorphic encryption (HE), which allows computation over encrypted data, has often
been used to preserve privacy. However, the computationally heavy nature and complexity …

A survey of software implementations for the number theoretic transform

AC Mert, F Yaman, E Karabulut, E Öztürk… - … on Embedded Computer …, 2023 - Springer
This survey summarizes the software implementation knowledge of the Number Theoretic
Transform (NTT)—a major subroutine of lattice-based cryptosystems. The NTT is a special …

Studying opencl-based number theoretic transform for heterogeneous platforms

E Haleplidis, T Tsakoulis, A El-Kady… - 2021 24th Euromicro …, 2021 - ieeexplore.ieee.org
Lattice based cryptography can be considered a candidate alternative for post-quantum
cryptosystems offering key exchange, digital signature and encryption functionality. Number …

[PDF][PDF] Encrypted cloud using GPUs

Z Zheng - Encrypted cloud using GPUs, 2020 - esat.kuleuven.be
Special thanks to everyone who took the time reading my thesis. I would like to express my
gratitude to my promotor Prof. Ingrid Verbauwhede for giving me the opportunity to finish my …

Towards GPU Accelerated FHE Computations

O Papadakis, M Papadimitriou… - … on Cyber Security …, 2024 - ieeexplore.ieee.org
Fully homomorphic encryption (FHE) enables pro-cessing encrypted data without revealing
sensitive information, making it applicable in fields like healthcare, finance, and legal …

NTTFusion: Efficient Number Theoretic Transform Acceleration on GPUs

Z Wang, P Li, R Hou, D Meng - 2023 IEEE 41st International …, 2023 - ieeexplore.ieee.org
Fully homomorphic encryption (FHE) holds great promise as an encryption technology for
safeguarding privacy by enabling computations directly on encrypted data. However, FHE …

CUDA-accelerated RNS multiplication in word-wise homomorphic encryption schemes

S Shen, H Yang, Y Liu, Z Liu, Y Zhao - Cryptology ePrint Archive, 2022 - eprint.iacr.org
Homomorphic encryption (HE), which allows computation over encrypted data, has often
been used to preserve privacy. However, the computationally heavy nature and complexity …