Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted
Data

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data

16 November 2019

Geoffrey C. Fox

Papers citing "Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data"

13 / 13 papers shown

Title
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption Jordan Fréry Roman Bredehoft Jakub Klemsa Arthur Meyre Andrei Stoian 31 0 0 12 May 2025
TFHE-Coder: Evaluating LLM-agentic Fully Homomorphic Encryption Code Generation Mayank Kumar Jinbao Xue Mengxin Zheng Qian Lou 65 2 0 15 Mar 2025
TFHE-SBC: Software Designs for Fully Homomorphic Encryption over the Torus on Single Board Computers Marin Matsumoto Ai Nozaki Hideki Takase M. Oguchi 48 0 0 04 Mar 2025
CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang Jinbao Xue Mengxin Zheng Mimi Xie Mingzhe Zhang Lei Jiang Qian Lou 64 2 0 24 Feb 2025
Secure Outsourced Decryption for FHE-based Privacy-preserving Cloud Computing Xirong Ma Chuan Li Yuchang Hu Yunting Tao Yali Jiang Yanbin Li Fanyu Kong Chunpeng Ge 56 0 0 28 Jun 2024
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data Leonardo Neumann Antonio Guimarães Diego F. Aranha Edson Borin AAML 23 0 0 29 Mar 2024
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
FHEBench: Benchmarking Fully Homomorphic Encryption Schemes Lei Jiang Lei Ju FedML 14 10 0 01 Mar 2022
Report: State of the Art Solutions for Privacy Preserving Machine Learning in the Medical Context J. Zalonis Frederik Armknecht Björn Grohmann Manuel Koch 33 4 0 27 Jan 2022
Privacy-Preserving Biometric Matching Using Homomorphic Encryption Gaëtan Pradel C. Mitchell PICV 24 18 0 24 Nov 2021
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: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 32 100 0 10 Aug 2021
SPEED: Secure, PrivatE, and Efficient Deep learning Arnaud Grivet Sébert Rafael Pinot Martin Zuber Cédric Gouy-Pailler Renaud Sirdey FedML 15 20 0 16 Jun 2020