naraquev / Private-AILinks
All exercises from private AI Facebook Scholarship
☆13Updated 6 years ago
Alternatives and similar repositories for Private-AI
Users that are interested in Private-AI are comparing it to the libraries listed below
Sorting:
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- An implementation of Deep Learning with Differential Privacy☆26Updated 2 years ago
- Repository for Federated Learning with Differential Privacy☆11Updated 3 years ago
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- tf implementation of federated learning☆42Updated 6 years ago
- Implementation of dp-based federated learning framework using PyTorch☆314Updated 2 years ago
- Federated learning used to detect credit card fraud☆13Updated 5 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆307Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆384Updated 9 months ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Updated 2 years ago
- vertical federated learning paper lists☆77Updated 4 years ago
- ☆179Updated last year
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- ☆35Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- The project aims to evaluate the vulnerability of Federated Learning systems to targeted data poisoning attack known as Label Flipping At…☆20Updated 3 years ago
- ☆35Updated 4 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆120Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆181Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago