ybdai7 / Backdoor-indicator-defense
[Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning" (https://www.usenix.org/conference/usenixsecurity24/presentation/li-songze)
☆19Updated 2 weeks ago
Related projects: ⓘ
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆70Updated last year
- ☆36Updated last year
- ☆39Updated 3 years ago
- ☆36Updated 7 months ago
- FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning [ICLR‘23, Best Paper Award at ECCV’22 AROW Workshop]☆42Updated last year
- ☆22Updated 7 months ago
- ☆63Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆61Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆31Updated 9 months ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 2 years ago
- ☆50Updated last year
- IMoonKeyBoy / The-Right-to-be-Forgotten-in-Federated-Learning-An-Efficient-Realization-with-Rapid-Retraining☆18Updated this week
- ☆14Updated this week
- ☆14Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆30Updated last year
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆35Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆30Updated last year
- ☆32Updated last year
- paper code☆22Updated 3 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆13Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆134Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 3 months ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- ☆13Updated 10 months ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆22Updated 9 months ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆77Updated last year
- ☆10Updated last year
- ☆32Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆42Updated last week
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated last year