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
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 3 weeks ago
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆84Updated last year
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago
- ☆40Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 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
- ☆38Updated 4 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
- ☆24Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆69Updated 3 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☆201Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- ☆35Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- ☆16Updated last year
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆43Updated last month
- ☆54Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆149Updated 8 months ago
- Accenture Labs Federated Learning☆105Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆32Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Updated last year
- ☆70Updated 3 years ago
- Webank AI☆43Updated 8 months ago
- ☆54Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆149Updated 3 years ago