Popular GitHub Repositories for Backdoor

A curated list of trustworthy deep learning papers. Daily updating...

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models

Experimental tools to backdoor large language models by re-writing their system prompts at a raw parameter level. This allows you to potentially execute offline remote code execution without running any actual code on the victim's machine or thwart LLM-based fraud/moderation systems.

[NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341

[ICCV 2023] Source code for our paper "Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models".

Fast integration of backdoor attacks in machine learning and federated learning.

[MICCAI 2024] Official code repository of paper titled "BAPLe: Backdoor Attacks on Medical Foundation Models using Prompt Learning" accepted in MICCAI 2024 conference.

Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

This repository provide the studies on the security of language models for code (CodeLMs).

[IJCAI 2024] Imperio is an LLM-powered backdoor attack. It allows the adversary to issue language-guided instructions to control the victim model's prediction for arbitrary targets.

A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)

Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".

An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning

To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models