jeremy313 / FL-WBC
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
☆39Updated 3 years ago
Alternatives and similar repositories for FL-WBC:
Users that are interested in FL-WBC are comparing it to the libraries listed below
- ☆38Updated 3 years ago
- ☆37Updated 11 months ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆45Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 3 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 7 months ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆28Updated 2 years ago
- ☆54Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆139Updated 2 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆35Updated last year
- ☆54Updated 3 years ago
- Adversarial attacks and defenses against federated learning.☆15Updated last year
- ☆25Updated 11 months ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- 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…☆14Updated 4 years ago
- ☆34Updated 3 years ago
- Simplified Implementation of FedPAC☆50Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆36Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- ☆28Updated 2 years ago
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆20Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆59Updated 4 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago