nGraph-HE2: A High-Throughput Framework for Neural Network Inference on
Encrypted Data

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data

12 August 2019

Anamaria Costache

Rosario Cammarota

Casimir Wierzynski

Papers citing "nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data"

13 / 13 papers shown

Title
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 89 2 0 20 Jan 2025
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch Nir Drucker Gilad Ezov Yoav Goldberg Eyal Kushnir Jenny Lerner Omri Soceanu Itamar Zimerman 49 6 0 26 Apr 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 29 12 0 30 Mar 2023
Towards Automated Homomorphic Encryption Parameter Selection with Fuzzy Logic and Linear Programming José Cabrero-Holgueras S. Pastrana 21 7 0 17 Feb 2023
Privacy-Preserving Credit Card Fraud Detection using Homomorphic Encryption David Nugent 13 2 0 12 Nov 2022
SEEK: model extraction attack against hybrid secure inference protocols Si-Quan Chen Junfeng Fan MIACV 16 2 0 14 Sep 2022
A methodology for training homomorphicencryption friendly neural networks Moran Baruch Nir Drucker L. Greenberg Guy Moshkowich 23 14 0 05 Nov 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 17 245 0 14 Jun 2021
SIRNN: A Math Library for Secure RNN Inference Deevashwer Rathee Mayank Rathee R. Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi 24 103 0 10 May 2021
SoK: Fully Homomorphic Encryption Compilers Alexander Viand Patrick Jattke Anwar Hithnawi 44 98 0 18 Jan 2021
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption Takumi Ishiyama Takuya Suzuki Hayato Yamana 29 37 0 08 Sep 2020
POSEIDON: Privacy-Preserving Federated Neural Network Learning Sinem Sav Apostolos Pyrgelis J. Troncoso-Pastoriza D. Froelicher Jean-Philippe Bossuat João Sá Sousa Jean-Pierre Hubaux FedML 16 153 0 01 Sep 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing T. Ryffel Pierre Tholoniat D. Pointcheval Francis R. Bach FedML 28 94 0 08 Jun 2020