The growing use of large language model (LLM)-based conversational agents to manage
sensitive user data raises significant privacy concerns. While these agents excel at …

Conversational agents are increasingly woven into individuals' personal lives, yet users
often underestimate the privacy risks involved. In this paper, based on the principles of …

Aligning large language models (LLMs) with human values is essential for their safe
deployment and widespread adoption. Current LLM safety benchmarks often focus solely on …

Large Language Models (LLMs) are rapidly becoming commodity components of larger
software systems. This poses natural security and privacy problems: poisoned data retrieved …

Machine learning community is discovering Contextual Integrity (CI) as a useful framework
to assess the privacy implications of large language models (LLMs). This is an encouraging …

Large language model (LLM)-based AI delegates are increasingly utilized to act on behalf of
users, assisting them with a wide range of tasks through conversational interfaces. Despite …