On protecting the data privacy of Large Language Models (LLMs) and LLM agents: A literature review

Large Language Models (LLMs) are complex artificial intelligence systems, which can understand, generate, and translate human languages. By analyzing large amounts of textual data, these models learn language patterns to perform tasks such as writing, conversation, and summarization. Agents built on LLMs (LLM agents) further extend these capabilities, allowing them to process user interactions and perform complex operations in diverse task environments. However, during the processing and generation of massive data, LLMs and LLM agents pose a risk of sensitive information leakage, potentially threatening data privacy. This paper aims to demonstrate data privacy issues associated with LLMs and LLM agents to…

• NN
  National Natural Science Foundation of China

  Awards: 62302063, 62402288
• CP
  China Postdoctoral Science Foundation

  Award: 2024M751811