研究提示词能否作为安全知识产权,发现人与AI能反推提示词。
Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art
- 让人类和人机协作通过图像反推生成提示词
- 反推结果可生成高相似度图像但不如原提示精确
- 首次将人类纳入提示词反推研究,揭示版权保护漏洞
AI生成艺术兴起催生了提示词交易平台,创作者可买卖或共享提示词以生成独特艺术作品。这些平台常宣称对提示词拥有知识产权。本文探究在公开展示的生成图像下,隐藏出售的提示词是否具备足够的知识产权安全性。研究重点评估:(i) 仅凭观看一张AI生成图像,人类能否准确推断出原始提示词,以生成相似图像;(ii) 是否可通过大型语言模型辅助,融合人类与AI的推理能力,构建更优的联合提示词。尽管已有研究探索用AI反推或防御提示词泄露,但本研究首次将人类纳入闭环。结果显示,人类及人机协作可较准确反推提示词并生成高相似图像,但效果仍不及使用原始提示词。
原文摘要 · Abstract (English)
The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts for generating unique artworks. These marketplaces often assert ownership over prompts, claiming them as intellectual property. This paper investigates whether concealed prompts sold on prompt marketplaces can be considered as secure intellectual property, given that humans and AI tools may be able to approximately infer the prompts based on publicly advertised sample images accompanying each prompt on sale. Specifically, our survey aims to assess (i) how accurately can humans infer the original prompt solely by examining an AI-generated image, with the goal of generating images similar to the original image, and (ii) the possibility of improving upon individual human and AI prompt inferences by crafting human-AI combined prompts with the help of a large language model. Although previous research has explored the use of AI and machine learning to infer (and also protect against) prompt inference, we are the first to include humans in the loop. Our findings indicate that while humans and human-AI collaborations can infer prompts and generate similar images with high accuracy, they are not as successful as using the original prompt.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。