FebriantiW / Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-View on GitHub
Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing techniques, has been started to use for the improvement of the privacy and security of medical data. In the federated learning, the training data is distributed across multiple machines, and the learning proce…
☆23Jun 9, 2022Updated 4 years ago
Alternatives and similar repositories for Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training-
Users that are interested in Homomorphic-Encryption-and-Federated-Learning-based-Privacy-Preserving-CNN-Training- are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆75Jun 27, 2023Updated 3 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆83Jul 23, 2024Updated 2 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆72Dec 15, 2020Updated 5 years ago
- Membership inference against Federated learning.☆10May 30, 2021Updated 5 years ago
- This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plai…☆13Aug 23, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology …☆34Dec 7, 2023Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- 自己的个人毕设,联邦学习相关,主要是多方安全计算中秘密分享的一种算法实现,以完成不需要第三方的安全隐私传输。(An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Apr 10, 2022Updated 4 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆41Oct 9, 2022Updated 4 years ago
- Meta-Learning for Risk Prediction with Limited Patient Electronic Health Records Using PySyft and SyferText☆19Sep 14, 2020Updated 6 years ago
- ☆19Sep 8, 2023Updated 3 years ago
- ☆19Jun 11, 2021Updated 5 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Feb 9, 2025Updated last year
- A user-friendly web application to help IIIT Sri City students calculate their semester-wise GPA and CGPA.☆12Feb 21, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆20Jul 4, 2020Updated 6 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- Client/Server framework for encrypted machine learning using homomorphic encryption☆43Oct 1, 2021Updated 5 years ago
- 数据脱敏处理☆13Dec 7, 2025Updated 10 months ago
- Privacy-preserving machine learning for small molecule data using fully homomorphic encryption.☆13Mar 2, 2026Updated 7 months ago
- Real-time image and video dehazing based on multiscale guided filtering, MTAP2022☆10Apr 21, 2023Updated 3 years ago
- A Federated Learning implementation to diagnose 2 acute inflammations of bladder.. This medical dataset truly needs privacy! Because we c…☆41Nov 16, 2019Updated 6 years ago
- ☆10Oct 25, 2021Updated 5 years ago
- Federated Learning on Energy Dataset for load forecasting using clustering and sequential DNN methods☆14Sep 19, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆10May 14, 2026Updated 5 months ago
- ☆12Dec 26, 2024Updated last year
- ☆10Jun 1, 2022Updated 4 years ago
- All exercises from private AI Facebook Scholarship☆13Jul 21, 2019Updated 7 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 7 years ago
- ☆10Jan 31, 2022Updated 4 years ago
- This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).☆12Sep 20, 2019Updated 7 years ago
- ☆12Dec 11, 2020Updated 5 years ago
- Deep Siamese convolutional neural net for biometric authentication of palm print images☆10Jul 3, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A repository that holds demos on interactions with the PeaTMOSS Dataset. Suitable for mining software repositories/MSR research on how ma…☆13Oct 7, 2023Updated 3 years ago
- Test Data Sets for Kandinsky Patterns☆11Jun 2, 2019Updated 7 years ago
- 同态加密☆21Dec 29, 2021Updated 4 years ago
- The ANTLR 3 Website☆14Aug 21, 2023Updated 3 years ago
- News in Privacy-Preserving Machine Learning☆12Feb 5, 2020Updated 6 years ago
- A RESTful API using noblox.js and Koa.☆24Mar 29, 2026Updated 6 months ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆21May 26, 2025Updated last year