shentt67 / LFBALinks
[AAAI 2025] Label-Free Backdoor Attacks in Vertical Federated Learning
☆18Updated 7 months ago
Alternatives and similar repositories for LFBA
Users that are interested in LFBA are comparing it to the libraries listed below
Sorting:
- The code of the attack scheme in the paper "Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning"☆21Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆39Updated last year
- ☆75Updated 5 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆54Updated last month
- ☆16Updated 2 years ago
- ☆38Updated 4 years ago
- Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning☆14Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆43Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Updated 2 years ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆22Updated 7 months ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Updated last year
- ☆24Updated 2 weeks ago
- The core code for our paper "Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning".☆21Updated last year
- This is an official implementation for the ICLR2023 paper "The Best of Both Worlds: Accurate Global and Personalized Models through Feder…☆19Updated 8 months ago
- ☆51Updated 11 months ago
- ☆26Updated 2 years ago
- ☆13Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 6 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65Updated 5 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…☆14Updated 5 years ago
- ☆19Updated 4 years ago
- ☆17Updated 10 months ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- ☆29Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆70Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆147Updated 3 years ago
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆70Updated 3 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Updated last year