LLM App

LLM apps, which deploy large language models (LLMs) on mobile devices, are rapidly expanding, raising significant concerns about user privacy and security. Research focuses on benchmarking LLM performance on mobile hardware, analyzing data collection practices within these apps (including potential misuse of sensitive information), and developing security mechanisms to mitigate risks like prompt injection attacks and unauthorized data access. This burgeoning field necessitates robust security frameworks and transparent data handling practices to ensure responsible development and deployment of LLM applications.