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
Alternatives and similar repositories for FedDefender
Users that are interested in FedDefender are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Nov 12, 2024Updated last year
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆32Jan 1, 2024Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 4 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Dec 11, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆12Jan 28, 2023Updated 3 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆37Dec 4, 2022Updated 3 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆15Sep 18, 2023Updated 2 years ago
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆17Jan 11, 2024Updated 2 years ago
- TextGuard: Provable Defense against Backdoor Attacks on Text Classification☆15Nov 7, 2023Updated 2 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- ☆71Jun 7, 2022Updated 4 years ago
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Backdoor detection in Federated learning with similarity measurement☆26Apr 30, 2022Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 3 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- [Findings of EMNLP 2022] Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks☆13Feb 26, 2023Updated 3 years ago
- 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
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 7 months ago
- [NeurIPS'22] Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. Haotao Wang, Junyuan Hong,…☆15Nov 27, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆14Aug 22, 2022Updated 3 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆50Sep 10, 2025Updated 11 months ago
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆14Dec 26, 2024Updated last year
- 天池比赛- 铝型材表面瑕疵识别的实现；Pytorch；finetune renet;☆15Oct 27, 2018Updated 7 years ago
- ☆42Feb 7, 2024Updated 2 years ago
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Jul 1, 2023Updated 3 years ago
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 2024Updated 2 years ago
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆64Apr 15, 2026Updated 3 months ago
- Simplified implementation of federated learning in PyTorch☆32Jan 7, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆17Apr 22, 2026Updated 3 months ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 6 months ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago
- KNN Defense Against Clean Label Poisoning Attacks☆13Sep 24, 2021Updated 4 years ago
- ☆13Apr 9, 2021Updated 5 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- ☆13Jan 12, 2024Updated 2 years ago