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Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
April 15, 2024, 4:43 a.m. | Albert Yu Sun, Eliott Zemour, Arushi Saxena, Udith Vaidyanathan, Eric Lin, Christian Lau, Vaikkunth Mugunthan
cs.LG updates on arXiv.org arxiv.org
Abstract: Machine learning practitioners often fine-tune generative pre-trained models like GPT-3 to improve model performance at specific tasks. Previous works, however, suggest that fine-tuned machine learning models memorize and emit sensitive information from the original fine-tuning dataset. Companies such as OpenAI offer fine-tuning services for their models, but no prior work has conducted a memorization attack on any closed-source models. In this work, we simulate a privacy attack on GPT-3 using OpenAI's fine-tuning API. Our objective …
api arxiv cs.cl cs.lg fine-tuning gpt gpt-3 information leak openai openai api type
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