qroa/QROA

QROA: A Black-Box Query-Response Optimization Attack on LLMs

33
/ 100
Emerging

QROA helps security researchers and AI safety engineers evaluate the robustness of Large Language Models (LLMs). It takes a malicious instruction and, through a series of interactions, identifies a 'trigger' that, when added to the instruction, makes the LLM produce harmful content. The output includes these optimized triggers and logs detailing the attack process and success.

No commits in the last 6 months.

Use this if you need to test how easily an LLM can be manipulated into generating harmful or unintended content without needing internal model access.

Not ideal if you are looking for a defensive tool to prevent LLMs from generating harmful content, as this tool is designed for offensive testing.

AI Safety Red Teaming LLM Vulnerability Testing Content Moderation Testing Adversarial AI
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 10 / 25

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Stars

14

Forks

2

Language

Python

License

MIT

Last pushed

May 23, 2025

Commits (30d)

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