mlsanityData to 13 Oct 2026

Protect Your Prompts: Protocols for IP Protection in LLM Applications

arXiv 2306.06297 ↗First posted 9 Jun 2023cs.CL cs.AIcited by 4

Not on the map. Why?

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.

Key facts. Cited by 4 papers in the map (data through 13 Oct 2026). Builds on 6 of its 10 references that are in the map. First posted on arXiv 9 Jun 2023.

Builds on

6 of 10 references.

References · 6

  1. 2023Sparks of Artificial General Intelligence: Early experiments with GPT-4cited by 2,586
  2. 2022Ignore Previous Prompt: Attack Techniques For Language Modelscited by 817
  3. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 616
  4. 2023Prompt Engineering for Healthcare: Methodologies and Applicationscited by 52
  5. 2023A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutionscited by 35
  6. 2023Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in geotechnical engineeringcited by 4

Built on by

Cited by year (2026 to 13 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 2; 2026: 1.

4 papers.