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Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
26 April 2023
Moran Baruch
Nir Drucker
Gilad Ezov
Yoav Goldberg
Eyal Kushnir
Jenny Lerner
Omri Soceanu
Itamar Zimerman
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Papers citing
"Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption"
7 / 7 papers shown
Title
Encryption-Friendly LLM Architecture
Donghwan Rho
Taeseong Kim
Minje Park
Jung Woo Kim
Hyunsik Chae
Jung Hee Cheon
Ernest K. Ryu
52
1
0
24 Feb 2025
High-Resolution Convolutional Neural Networks on Homomorphically Encrypted Data via Sharding Ciphertexts
Vivian Maloney
R. Obrecht
V. Saraph
P. Rama
K. Tallaksen
11
1
0
15 Jun 2023
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
Garam Lee
Minsoo Kim
J. Park
Seung-won Hwang
Jung Hee Cheon
38
15
0
05 Oct 2022
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Sijun Tan
Brian Knott
Yuan Tian
David J. Wu
BDL
FedML
52
181
0
22 Apr 2021
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
75
301
0
13 Oct 2020
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
261
10,106
0
16 Nov 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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