TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU

TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU

29 December 2022

Papers citing "TensorFHE: Achieving Practical Computation on Encrypted Data Using GPGPU"

19 / 19 papers shown

Title
CAT: A GPU-Accelerated FHE Framework with Its Application to High-Precision Private Dataset Query Qirui Li Rui Zong FedML 43 0 0 28 Mar 2025
DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data M. Santriaji Jiaqi Xue Qian Lou Yan Solihin FedML 34 5 0 19 Oct 2024
Trinity: A General Purpose FHE Accelerator Xianglong Deng Shengyu Fan Zhicheng Hu Zhuoyu Tian Zihao Yang ... Dan Meng Rui Hou Meng Li Qian Lou Mingzhe Zhang 24 4 0 17 Oct 2024
Chameleon: An Efficient FHE Scheme Switching Acceleration on GPUs Zhiwei Wang Haoqi He Lutan Zhao Peinan Li Zhihao Li Dan Meng Rui Hou 19 0 0 08 Oct 2024
HF-NTT: Hazard-Free Dataflow Accelerator for Number Theoretic Transform Xiangchen Meng Zijun Jiang Yangdi Lyu 13 0 0 07 Oct 2024
Confidential Computing on Heterogeneous CPU-GPU Systems: Survey and Future Directions Qifan Wang David Oswald 38 0 0 21 Aug 2024
Cheddar: A Swift Fully Homomorphic Encryption Library for CUDA GPUs Jongmin Kim Wonseok Choi Jung Ho Ahn FedML 33 6 0 17 Jul 2024
Taiyi: A high-performance CKKS accelerator for Practical Fully Homomorphic Encryption Shengyu Fan Xianglong Deng Zhuoyu Tian Zhicheng Hu Liang Chang Rui Hou Dan Meng Mingzhe Zhang 21 0 0 15 Mar 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference Tianshi Xu Meng Li Runsheng Wang 37 0 0 29 Jan 2024
CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption Negar Neda Austin Ebel Benedict Reynwar Brandon Reagen 18 2 0 02 Nov 2023
Toward Practical Privacy-Preserving Convolutional Neural Networks Exploiting Fully Homomorphic Encryption J. Park Donghwan Kim Jongmin Kim Sangpyo Kim Wonkyung Jung Jung Hee Cheon Jung Ho Ahn FedML 27 8 0 25 Oct 2023
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption Kaustubh Shivdikar Yuhui Bao R. Agrawal M. Shen Gilbert Jonatan ... Neal Livesay José L. Abellán John Kim Ajay Joshi David Kaeli 19 15 0 20 Sep 2023
CiFHER: A Chiplet-Based FHE Accelerator with a Resizable Structure Sangpyo Kim Jongmin Kim Jaeyoung Choi Jung Ho Ahn 14 3 0 09 Aug 2023
REED: Chiplet-Based Accelerator for Fully Homomorphic Encryption Aikata Aikata A. Mert Sunmin Kwon M. Deryabin S. Roy 92 2 0 05 Aug 2023
RPU: The Ring Processing Unit Deepraj Soni Negar Neda Naifeng Zhang Benedict Reynwar Homer Gamil ... David Cousins F. Franchetti M. French A. Schmidt Brandon Reagen 24 11 0 30 Mar 2023
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks Donghwan Kim J. Park Jongmin Kim Sangpyo Kim Jung Ho Ahn 16 17 0 05 Feb 2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference Maximilian Lam Jeff Johnson Wenjie Xiong Kiwan Maeng Udit Gupta ... Hsien-Hsin S. Lee Vijay Janapa Reddi Gu-Yeon Wei David Brooks Edward Suh 24 9 0 26 Jan 2023
SoK: Fully Homomorphic Encryption Accelerators Junxue Zhang Xiaodian Cheng Liu Yang Jinbin Hu Ximeng Liu Kai Chen 18 22 0 04 Dec 2022
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version) Axel S. Feldmann Nikola Samardzic A. Krastev S. Devadas R. Dreslinski Karim M. El Defrawy Nicholas Genise Chris Peikert Daniel Sánchez 35 251 0 11 Sep 2021