Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
☆44Oct 29, 2021Updated 4 years ago
Alternatives and similar repositories for FL-WBC
Users that are interested in FL-WBC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆157Feb 16, 2025Updated last year
- Model Poisoning Attack to Federated Recommendation☆33Apr 23, 2022Updated 4 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- Learning from history for Byzantine Robustness☆27Jun 11, 2021Updated 5 years ago
- ☆38Apr 9, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for Data Poisoning Attacks Against Federated Learning Systems☆210Jun 13, 2021Updated 5 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆153Aug 6, 2022Updated 4 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 6 years ago
- ☆14May 17, 2024Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 3 years ago
- ☆17Dec 7, 2023Updated 2 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Scope: On Detecting Constrained Backdoor Attacks in Federated Learning☆23Jul 2, 2025Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132May 20, 2023Updated 3 years ago
- ☆54Feb 19, 2023Updated 3 years ago
- ☆71Jun 7, 2022Updated 4 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆23Dec 25, 2023Updated 2 years ago
- ☆23Nov 2, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆15Dec 11, 2023Updated 2 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 2022Updated 3 years 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…☆15Jun 19, 2020Updated 6 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 5 years ago
- ☆32Apr 8, 2020Updated 6 years ago
- A sybil-resilient distributed learning protocol.☆115Sep 9, 2025Updated last year
- Multi-metrics adaptively identifies backdoors in Federated learning☆39Aug 7, 2025Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆22May 6, 2021Updated 5 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆41Sep 10, 2025Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆55Dec 11, 2024Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆28Sep 28, 2024Updated last year
- Personalized federated learning codebase for research☆412Oct 4, 2023Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆56Oct 12, 2025Updated 11 months ago