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
- Implementation of Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (Using LWE schema)☆12Updated 6 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆68Updated 4 years ago
- Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference☆48Updated 4 years ago
- Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption☆78Updated 6 months ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- ☆67Updated 6 years ago
- MCSI☆13Updated 3 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
- personal implementation of secure aggregation protocol☆43Updated last year
- Secure Linear Regression in the Semi-Honest Two-Party Setting.☆40Updated 5 years ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Homomorphic matrix computation☆41Updated 5 years ago
- A secure aggregation system for private federated learning☆39Updated 9 months ago
- ☆36Updated 3 months ago
- Implementation of a Neural Network that predicts encrypted handwritten digits from the MNIST dataset. Encryption and Network Implemented …☆12Updated 5 years ago
- Secure Aggregation for FL☆34Updated last year
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆24Updated 3 weeks ago
- Multi‐key homomorphic encryption based on MKCKKS☆18Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆18Updated 2 years ago
- Medical data is often highly sensitive in terms of data privacy and security concerns. Federated learning, one type of machine learn- ing…☆20Updated 2 years ago
- Repository for collection of research papers on multi-party learning.☆32Updated last year
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆58Updated 3 years ago
- MPC team of Security Group in HITSZ☆20Updated 5 months ago
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 4 years ago
- ☆82Updated 4 years ago
- Implementation of protocols in Falcon☆93Updated 6 months ago
- Paper Notes in MPC with Applications to PPML☆65Updated 11 months ago
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆52Updated 3 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago