Popular GitHub Repositories for Poisoning Attack

Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

A repository to quickly generate synthetic data and associated trojaned deep learning models

Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

A Survey of Poisoning Attacks and Defenses in Recommender Systems

[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition

FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).

This repository contains the code for our USENIX Security'23 paper "PORE: Provably Robust Recommender Systems against Data Poisoning Attacks"

Perception Poisoning Attacks in Federated Learning

[ACSAC '24] FedCAP: Robust Federated Learning via Customized Aggregation and Personalization

Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...

Can Adversarial training defend against Poisoning attacks?

Membership inference attacks on (poisoned) segmentation models; TUM master's thesis

Adversarial-Attacks-and-Defence

Simulation of FL in python for Digit Recognition ML model. Simulated poisoning attacks and studies their impact.