warisgill / FedDefenderLinks
FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).
☆15Updated 11 months ago
Alternatives and similar repositories for FedDefender
Users that are interested in FedDefender are comparing it to the libraries listed below
Sorting:
- A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)☆25Updated last year
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆37Updated 9 months ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆56Updated 6 months ago
- ☆15Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆70Updated 3 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- ☆38Updated 4 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆41Updated 5 months ago
- ☆18Updated 4 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆32Updated 8 months ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- ☆52Updated last year
- Membership inference against Federated learning.☆9Updated 4 years ago
- TraceFL is a novel mechanism for Federated Learning that achieves interpretability by tracking neuron provenance. It identifies clients r…☆10Updated 7 months ago
- ☆55Updated 2 years ago
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆36Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆42Updated 3 years ago
- ☆23Updated last year
- Adversarial attacks and defenses against federated learning.☆17Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆30Updated 2 years ago
- ☆16Updated 5 months ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆13Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- ☆37Updated 3 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- ☆41Updated last year