The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"
☆87Feb 23, 2023Updated 3 years ago
Alternatives and similar repositories for FLDetector
Users that are interested in FLDetector are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆17Feb 7, 2024Updated 2 years ago
- ☆42Feb 7, 2024Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆152Aug 6, 2022Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆38Oct 3, 2022Updated 4 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆55Dec 11, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆32Apr 8, 2020Updated 6 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 5 years ago
- ☆54Feb 19, 2023Updated 3 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆157Feb 16, 2025Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Apr 3, 2023Updated 3 years ago
- ☆55Jun 30, 2023Updated 3 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆206Aug 5, 2021Updated 5 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆26Jun 14, 2024Updated 2 years ago
- ☆19Nov 17, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Profit Allocation for Federated Learning☆26Apr 27, 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 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 5 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆39Aug 7, 2025Updated last year
- ☆32Oct 10, 2023Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆115Sep 9, 2025Updated last year
- ☆18Jun 10, 2024Updated 2 years ago
- ☆38Apr 9, 2021Updated 5 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆18Feb 2, 2022Updated 4 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
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆84Apr 1, 2023Updated 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 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆210Jun 13, 2021Updated 5 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆37Dec 4, 2022Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- Backdoor detection in Federated learning with similarity measurement☆25Apr 30, 2022Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆19Apr 12, 2023Updated 3 years ago
- ☆19Oct 24, 2021Updated 5 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 3 years ago
- ☆71Jun 7, 2022Updated 4 years ago
- ☆20Dec 7, 2020Updated 5 years ago
- The official code for ICML 2024 "FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Recons…☆32Sep 16, 2026Updated last month
- Research simulation toolkit for federated learning☆14Nov 7, 2020Updated 5 years ago