Using Large Language Models to protect information search in Multi-Domain Operations

Abstract

We consider a scenario in multi-domain operations where the users in one domain need to perform searches on information hosted by a provider in another domain. It is very common in many scenarios that information cannot be shared openly across different domains, and users may want to obfuscate their searches and prevent the search provider from learning the intent of their searches. In scenarios where search privacy is important, the use of a large language model can help implement an obfuscation approach relying on generation of decoy queries to obfuscate the real query. In this paper, we consider different alternative approaches to use large language models for search privacy, compare their strengths and weaknesses, and discuss their effectiveness.