mit-han-lab / dlgLinks
[NeurIPS 2019] Deep Leakage From Gradients
☆446Updated 3 years ago
Alternatives and similar repositories for dlg
Users that are interested in dlg are comparing it to the libraries listed below
Sorting:
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆298Updated last year
- Algorithms to recover input data from their gradient signal through a neural network☆297Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆152Updated 4 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆196Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆303Updated 2 years ago
- ☆174Updated 9 months ago
- Code and data accompanying the FedGen paper☆252Updated 9 months ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 3 months ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆62Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆240Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Simulate a federated setting and run differentially private federated learning.☆382Updated 4 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆157Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆196Updated 4 years ago
- On the Convergence of FedAvg on Non-IID Data☆266Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆217Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆129Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Breaching privacy in federated learning scenarios for vision and text☆300Updated last year
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆605Updated last year
- Differential Privacy Preservation in Deep Learning under Model Attacks☆135Updated 4 years ago
- A sybil-resilient distributed learning protocol.☆106Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆297Updated 3 years ago
- Paper notes and code for differentially private machine learning☆357Updated 8 months ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆396Updated 9 months ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆193Updated 7 years ago