Precise Approximation of Convolutional Neural Networks for
Homomorphically Encrypted Data

Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data

23 May 2021

Papers citing "Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data"

13 / 13 papers shown

Title
Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs Aidan Ferguson Perry Gibson Lara DÁgata Parker McLeod Ferhat Yaman Amitabh Das Ian Colbert José Cano 58 0 0 12 Mar 2025
Encryption-Friendly LLM Architecture Donghwan Rho Taeseong Kim Minje Park Jung Woo Kim Hyunsik Chae Jung Hee Cheon Ernest K. Ryu 54 2 0 24 Feb 2025
An End-to-End Homomorphically Encrypted Neural Network Marcos Florencio Luiz Alencar Bianca Lima SyDa 51 0 0 22 Feb 2025
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 16 0 0 16 Mar 2024
AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE Wei Ao Vishnu Naresh Boddeti AAML 25 18 0 12 Oct 2023
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach Sofiane Ouaari Ali Burak Ünal Mete Akgun Nícolas Pfeifer 29 0 0 08 Sep 2023
Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions Abdulrahman Diaa L. Fenaux Thomas Humphries Marian Dietz Faezeh Ebrahimianghazani ... Nils Lukas Rasoul Akhavan Mahdavi Simon Oya Ehsan Amjadian Florian Kerschbaum 18 6 0 14 Jun 2023
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
HyPHEN: A Hybrid Packing Method and Optimizations for Homomorphic Encryption-Based Neural Networks Donghwan Kim J. Park Jongmin Kim Sangpyo Kim Jung Ho Ahn 19 17 0 05 Feb 2023
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption Sangpyo Kim Jongmin Kim M. Kim Wonkyung Jung Minsoo Rhu John Kim Jung Ho Ahn 11 136 0 31 Dec 2021
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 31 3 0 04 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 15 245 0 14 Jun 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016