Liar-Mask / FedAULinks
☆16Updated 9 months ago
Alternatives and similar repositories for FedAU
Users that are interested in FedAU are comparing it to the libraries listed below
Sorting:
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- ☆40Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated last week
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- ☆38Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆68Updated 3 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆41Updated last month
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆98Updated last year
- ☆24Updated last year
- Accenture Labs Federated Learning☆105Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Updated last year
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆36Updated last year
- ☆34Updated last year
- ☆53Updated 2 years ago
- ☆54Updated 4 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated 2 years ago
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Updated 2 years ago
- ☆51Updated 9 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆148Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆32Updated 2 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- Webank AI☆42Updated 8 months ago