ateniolatobi / Differential-privacy-for-deeplearning-project
Final project for Lesson 6: Differential privacy for deep learning in the Facebook and Udacity Secure and Private AI scholarship nanodegree program
☆21Updated 5 years ago
Alternatives and similar repositories for Differential-privacy-for-deeplearning-project:
Users that are interested in Differential-privacy-for-deeplearning-project are comparing it to the libraries listed below
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago
- Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralised data. The r…☆42Updated 5 years ago
- Supervised Learning approach to Detect Anomalies in Blockchain using Federated Learning☆34Updated 4 years ago
- Wuhan Corona (COVID-19) patients dataset☆38Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆72Updated 3 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated last year
- This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.☆26Updated 4 years ago
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆24Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- Privacy Preserving Federated Learning on a Deep Neural Network☆8Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆48Updated 3 years ago
- A Simulator for Privacy Preserving Federated Learning☆92Updated 4 years ago
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆22Updated 3 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Updated 5 years ago
- ☆8Updated 4 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆42Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆20Updated 4 years ago
- All exercises from private AI Facebook Scholarship☆13Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆27Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- A curated list of resources dedicated to federated learning.☆102Updated 2 years ago
- Federated Learning Course Materials☆66Updated 3 years ago
- ☆72Updated last year
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆83Updated 5 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
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago