Fully Homomorphically Encrypted Deep Learning as a Service

26 July 2021

Papers citing "Fully Homomorphically Encrypted Deep Learning as a Service"

7 / 7 papers shown

Title
Enhancing Strawberry Yield Forecasting with Backcasted IoT Sensor Data and Machine Learning Tewodros Alemu Ayall Andy Li Matthew Beddows Milan Markovic Georgios Leontidis 34 0 0 25 Apr 2025
SLIP: Securing LLMs IP Using Weights Decomposition Yehonathan Refael Adam Hakim Lev Greenberg T. Aviv S. Lokam Ben Fishman Shachar Seidman 46 3 0 15 Jul 2024
HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference Tianshi Xu Meng Li Runsheng Wang 47 1 0 29 Jan 2024
Generating One-Hot Maps under Encryption E. Aharoni Nir Drucker Eyal Kushnir Ramy Masalha Hayim Shaul 16 4 0 11 Jun 2023
Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference Ivone Amorim Eva Maia Pedro Barbosa Isabel Praça 21 3 0 03 May 2023
EDLaaS: Fully Homomorphic Encryption Over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting George Onoufriou Marc Hanheide Georgios Leontidis FedML 24 4 0 26 Oct 2021
The Role of Cross-Silo Federated Learning in Facilitating Data Sharing in the Agri-Food Sector A. Durrant Milan Markovic David Matthews David May J. Enright Georgios Leontidis FedML 32 69 0 14 Apr 2021