lillian-hao / Deep-Learning-with-Differential-PrivacyLinks
An implementation of Deep Learning with Differential Privacy
☆26Updated 2 years ago
Alternatives and similar repositories for Deep-Learning-with-Differential-Privacy
Users that are interested in Deep-Learning-with-Differential-Privacy 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
- Implementation of dp-based federated learning framework using PyTorch☆314Updated last week
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- Repository for Federated Learning with Differential Privacy☆11Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆414Updated last year
- Accenture Labs Federated Learning☆106Updated last year
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆184Updated 4 years ago
- Implement FedAvg algorithm based on Tensorflow☆265Updated 5 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆38Updated last year
- On the Convergence of FedAvg on Non-IID Data☆274Updated 3 years ago
- ☆179Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆131Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Updated 4 years ago
- ☆35Updated 3 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆90Updated last year
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Updated 5 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- ☆96Updated 4 years ago
- FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning☆20Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 8 months ago