poisoning-attack

对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料

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

[ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining

Example of using ELF hacking to inject malicious code into a target binary

My experiments in weaponizing ONOS applications (https://github.com/opennetworkinglab/onos)

[USENIX Security 2025] Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models

Official PyTorch implementation of "MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks"

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

The code for ACM MM2024 (Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning)

Source code for the Energy-Latency Attacks via Sponge Poisoning paper.

Code for "Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating"

Perform RA/RDNSS/NA spoofing and RA Guard evasion with arbitrary IPv6 packets

A Semi-supervised learning model (Ladder Network) to classify MNIST digits. A few attacks were executed on it with the target of misclassifying 4s with 9s.

An isolated environment for DNS cache poisoning attack investigation and demonstration.

[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping

RAG Poisoning Lab — Educational AI Security Exercise