gitgik / differential-privacy-federated-learning
Curated notebooks on how to train neural networks using differential privacy and federated learning.
☆66Updated 4 years ago
Alternatives and similar repositories for differential-privacy-federated-learning:
Users that are interested in differential-privacy-federated-learning are comparing it to the libraries listed below
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- An implementation of Deep Learning with Differential Privacy☆24Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 6 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 9 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆17Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆58Updated 2 years ago
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Updated 5 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 3 years ago
- This repository contains all the implementation of different papers on Federated Learning☆43Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆121Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆109Updated 4 months ago
- ☆33Updated 2 years ago
- Federated learning used to detect credit card fraud☆13Updated 4 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆132Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆20Updated 5 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆60Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆140Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆72Updated 3 years ago
- ☆36Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆21Updated 2 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆50Updated 8 months ago
- A Simulator for Privacy Preserving Federated Learning☆93Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆292Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year