minkcoregame / privacy-CNN
This repository provides python code for privacy preserving image classification based on fully homomorphic encryption (FHE).
☆13Updated 5 years ago
Alternatives and similar repositories for privacy-CNN
Users that are interested in privacy-CNN are comparing it to the libraries listed below
Sorting:
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆79Updated 9 months ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆69Updated 4 years ago
- Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)☆13Updated 6 years ago
- 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
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆23Updated 5 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆30Updated 3 years ago
- Implementation of a Neural Network that predicts encrypted handwritten digits from the MNIST dataset. Encryption and Network Implemented …☆12Updated 6 years ago
- personal implementation of secure aggregation protocol☆46Updated last year
- Multi‐key homomorphic encryption based on MKCKKS☆19Updated 2 years ago
- Paper Notes in MPC with Applications to PPML☆69Updated last year
- MCSI☆13Updated 3 years ago
- A mathematical and code introduction to the BFV Homomorphic Encryption scheme.☆38Updated 2 years ago
- A secure aggregation system for private federated learning☆41Updated last year
- This project studied homomorphic encryption and attempted to apply it in training machine learning models. We trained some models on plai…☆13Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆38Updated last year
- A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy☆30Updated 5 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Updated 2 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆24Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated 3 weeks ago
- ☆87Updated 4 years ago
- ☆36Updated 6 months ago
- CryptoNets using Python and ctypes. This repository is part of the final project of Neural Networks at Sapienza University of Rome.☆22Updated 5 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆24Updated 3 years ago
- Homomorphic matrix computation☆42Updated 5 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- Secure Aggregation for FL☆35Updated last year
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 5 years 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