💉🔐 Novel algorithm for defending against Data Poisoning Attacks in a Federated Learning scenario

Experiments on Data Poisoning Regression Learning

This repository contains the code, the dataset and the experimental results related to the paper "Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks" accepted for publication at The 32nd IEEE/ACM International Conference on Program Comprehension (ICPC 2024).

Library for simulating data poisoning attack and defence strategies against online machine learning systems.

Flareon: Stealthy Backdoor Injection via Poisoned Augmentation

A backdoor attack in a Federated learning setting using the FATE framework

This is the official code for the ESORICS 2024 paper "ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification"

DSC 253 Advanced Data-Driven Text Mining Project

[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.