xyq7 / FedREDefense
The official code for ICML 2024 "FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error"
☆20Updated 10 months ago
Alternatives and similar repositories for FedREDefense:
Users that are interested in FedREDefense are comparing it to the libraries listed below
- Multi-metrics adaptively identifies backdoors in Federated learning☆25Updated last year
- ☆38Updated 4 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆23Updated 3 years ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆16Updated 2 weeks ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆14Updated 2 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆33Updated 4 months ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆49Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆57Updated 2 years ago
- ☆27Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆10Updated 2 years ago
- ☆68Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆21Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated 6 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- ☆55Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Backdoor detection in Federated learning with similarity measurement☆23Updated 2 years ago
- ☆31Updated 5 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆55Updated 4 months ago
- ☆8Updated 4 years ago
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆38Updated 9 months ago
- Learning from history for Byzantine Robustness☆23Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆37Updated 2 years ago
- Webank AI☆42Updated 2 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- ☆10Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- ☆29Updated last year