NBsyxx / privacy-preserving-machine-learning-with-hormomophic-encrypted-data
This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plain data and evaluated them on encrypted data using encrypted parameters. We eventually created a logistic regression model that trains on encrypted data and maintains high accuracy
☆13Updated 2 years ago
Alternatives and similar repositories for privacy-preserving-machine-learning-with-hormomophic-encrypted-data
Users that are interested in privacy-preserving-machine-learning-with-hormomophic-encrypted-data are comparing it to the libraries listed below
Sorting:
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆22Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆38Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆29Updated 3 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆69Updated 4 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 5 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 3 weeks ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆79Updated 9 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆34Updated 4 years ago
- Multi‐key homomorphic encryption based on MKCKKS☆19Updated 2 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).☆13Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆30Updated 3 years ago
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)☆13Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- Code repository for the paper at USENIX Security'24☆27Updated 9 months ago
- Secure Aggregation for FL☆35Updated last year
- MPC team of Security Group in HITSZ☆20Updated 3 weeks ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆118Updated 7 months ago
- MCSI☆13Updated 3 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago