On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

arXiv:2403.05156v1 Announce Type: new
Abstract: Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform writing, conversation, summarizing and other language tasks. When LLMs process and generate large amounts of data, there is a risk of leaking sensitive information, which may threaten data privacy. This paper concentrates on elucidating the data privacy concerns associated with LLMs to foster …

artificial artificial intelligence arxiv conversation cs.cr data data privacy human intelligence language language models large learn llms patterns privacy process protecting survey systems text understanding writing