lingyunhao / Deep-Learning-with-Differential-PrivacyLinks
An implementation of Deep Learning with Differential Privacy
☆25Updated 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.☆68Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆126Updated 10 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆398Updated 10 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 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"☆147Updated 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☆130Updated 2 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Updated 7 years ago
- Simulate a federated setting and run differentially private federated learning.☆383Updated 5 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆198Updated 4 years ago
- ☆35Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆301Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Paper notes and code for differentially private machine learning☆355Updated 9 months ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆67Updated 3 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆88Updated 6 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆81Updated 11 months ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- Accenture Labs Federated Learning☆104Updated last year
- Differential private machine learning☆195Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆105Updated last year
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago