💉🔐 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

🤖 Generate tailored AI training datasets quickly and easily, transforming your domain knowledge into essential training data for model fine-tuning.

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

Investigating lightweight approaches for trojan detection in code models using only model parameters.

Python API and toolkit for detecting data poisoning in ML models using Adversarial Robustness Toolkit defenses

🛠️ Generate AI training datasets easily, transforming complex information from documents into structured data for model fine-tuning.