xtLyu / PFedBALinks
Official Implementation of "Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning"
☆10Updated 6 months ago
Alternatives and similar repositories for PFedBA
Users that are interested in PFedBA are comparing it to the libraries listed below
Sorting:
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆81Updated 11 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆51Updated 2 years ago
- ☆52Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆196Updated 4 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆130Updated 2 years ago
- ☆23Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- FLPoison: Benchmarking Poisoning Attacks and Defenses in Federated Learning☆31Updated 5 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆125Updated 10 months ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆17Updated 2 months ago
- ☆39Updated last year
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆142Updated 5 months ago
- ☆14Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆396Updated 9 months ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- Paper notes and code for differentially private machine learning☆356Updated 8 months ago
- ☆31Updated last year
- Accenture Labs Federated Learning☆104Updated last year
- ☆16Updated last year
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆30Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Updated 11 months ago
- DPSUR☆27Updated 6 months ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated 10 months ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated last year
- ☆14Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆84Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆174Updated 4 years ago