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PRSA: Prompt Reverse Stealing Attacks against Large Language Models
March 1, 2024, 5:49 a.m. | Yong Yang, Xuhong Zhang, Yi Jiang, Xi Chen, Haoyu Wang, Shouling Ji, Zonghui Wang
cs.CL updates on arXiv.org arxiv.org
Abstract: Prompt, recognized as crucial intellectual property, enables large language models (LLMs) to perform specific tasks without the need of fine-tuning, underscoring their escalating importance. With the rise of prompt-based services, such as prompt marketplaces and LLM applications, providers often display prompts' capabilities through input-output examples to attract users. However, this paradigm raises a pivotal security concern: does the exposure of input-output pairs pose the risk of potential prompt leakage, infringing on the intellectual property rights …
abstract applications arxiv attacks capabilities cs.cl cs.cr examples fine-tuning importance input-output intellectual property language language models large language large language models llm llm applications llms marketplaces prompt prompts property services specific tasks stealing tasks through type
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