Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
☆152Oct 3, 2022Updated 3 years ago
Alternatives and similar repositories for ModelPoisoning
Users that are interested in ModelPoisoning are comparing it to the libraries listed below
Sorting:
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆315Jul 25, 2024Updated last year
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆203Aug 5, 2021Updated 4 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆29Jun 29, 2023Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- A sybil-resilient distributed learning protocol.☆112Sep 9, 2025Updated 5 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆149Aug 6, 2022Updated 3 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆378Feb 5, 2023Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Jun 13, 2021Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆54Sep 13, 2022Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 6 years ago
- Leaf: A Benchmark for Federated Settings☆900Mar 24, 2023Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago
- ☆73Jun 7, 2022Updated 3 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆146May 29, 2019Updated 6 years ago
- [NeurIPS 2019] Deep Leakage From Gradients☆475Apr 17, 2022Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 2 years ago
- ☆31Apr 8, 2020Updated 5 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆314Apr 14, 2023Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41May 21, 2021Updated 4 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 2 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Feb 2, 2023Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆387Mar 7, 2025Updated 11 months ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Jun 19, 2020Updated 5 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆255Dec 2, 2023Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆83Apr 1, 2023Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Jan 22, 2021Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Jun 3, 2021Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆723Mar 24, 2023Updated 2 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Jul 13, 2020Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆86Feb 23, 2023Updated 3 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆21May 6, 2021Updated 4 years ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,002Sep 3, 2022Updated 3 years ago
- ☆16May 10, 2019Updated 6 years ago