git-disl / LockdownLinks
A backdoor defense for federated learning via isolated subspace training (NeurIPS2023)
☆27Updated last year
Alternatives and similar repositories for Lockdown
Users that are interested in Lockdown are comparing it to the libraries listed below
Sorting:
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 10 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated 3 weeks ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- ☆38Updated 4 years ago
- ☆16Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆15Updated last year
- ☆34Updated last year
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 4 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Updated 3 years ago
- ☆55Updated 2 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago
- ☆24Updated 2 years ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆44Updated last month
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆35Updated last year
- ☆40Updated last year
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Updated 2 years ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆20Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆75Updated 2 years ago
- ☆43Updated 2 years ago
- ☆54Updated 2 years ago
- ☆27Updated 2 years ago
- ☆16Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 11 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆200Updated 4 years ago
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆19Updated 7 months ago
- ☆70Updated 3 years ago