woodyx218 / Deep-Learning-with-GDP-PytorchLinks
Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"
☆33Updated 4 years ago
Alternatives and similar repositories for Deep-Learning-with-GDP-Pytorch
Users that are interested in Deep-Learning-with-GDP-Pytorch are comparing it to the libraries listed below
Sorting:
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆49Updated 4 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆52Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- ☆54Updated 4 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 6 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆43Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- ☆70Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Updated last year
- Adversarial attacks and defenses against federated learning.☆20Updated 2 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Updated 4 years ago
- simple Differential Privacy in PyTorch☆49Updated 5 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆164Updated 4 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 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
- ☆30Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 5 years ago
- ☆40Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Updated 5 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆40Updated 2 years ago
- ☆16Updated 6 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Updated 10 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago