# Protect Your Prompts: Protocols for IP Protection in LLM Applications

arXiv: https://arxiv.org/abs/2306.06297 · HTML: https://mlsanity.com/paper/2306.06297/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 10 references that are in the map.
- First posted on arXiv 9 Jun 2023.

## Builds on (most cited first, 6 of 6)

- [Sparks of Artificial General Intelligence: Early experiments with GPT-4](https://mlsanity.com/paper/2303.12712/) (2023)
- [Ignore Previous Prompt: Attack Techniques For Language Models](https://mlsanity.com/paper/2211.09527/) (2022)
- [A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT](https://mlsanity.com/paper/2302.11382/) (2023)
- [Prompt Engineering for Healthcare: Methodologies and Applications](https://mlsanity.com/paper/2304.14670/) (2023)
- [A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions](https://mlsanity.com/paper/2305.18339/) (2023)
- [Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineering](https://mlsanity.com/paper/2304.02138/) (2023)

## Built on by (most cited first, 4 of 4)

- [Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition](https://mlsanity.com/paper/2311.16119/) (2023)
- [Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems](https://mlsanity.com/paper/2512.23132/) (2025)
- [User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Sora](https://mlsanity.com/paper/2512.05519/) (2025)
- [ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding](https://mlsanity.com/paper/2606.07524/) (2026)

## Abstract (arXiv)

With the rapid adoption of AI in the form of large language models (LLMs), the potential value of carefully engineered prompts has become significant. However, to realize this potential, prompts should be tradable on an open market. Since prompts are, at present, generally economically non-excludable, by virtue of their nature as text, no general competitive market has yet been established. This note discusses two protocols intended to provide protection of prompts, elevating their status as intellectual property, thus confirming the intellectual property rights of prompt engineers, and potentially supporting the flourishing of an open market for LLM prompts.