backdoor-learning-resources

? Open-Source Evaluation & Testing for AI & LLM systems

A curated list of useful resources that cover Offensive AI.

a prompt injection scanner for custom LLM applications

a unique framework for cybersecurity simulation and red teaming operations, windows auditing for newer vulnerabilities, misconfigurations and privilege escalations attacks, replicate the tactics and techniques of an advanced adversary in a network.

A security scanner for your LLM agentic workflows

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.

RuLES: a benchmark for evaluating rule-following in language models

Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.

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.