The proliferation of Large Language Models (LLMs) poses challenges in detecting and
mitigating digital deception, as these models can emulate human conversational patterns …

Smart spaces are ubiquitous computing environments that integrate diverse sensing and
communication technologies to enhance space functionality, optimize energy utilization, and …

Large Language Model (LLM) Agents are an emerging computing paradigm that blends
generative machine learning with tools such as code interpreters, web browsing, email, and …

The increasing availability of real-world conversation data offers exciting opportunities for
researchers to study user-chatbot interactions. However, the sheer volume of this data …

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 …

Users can divulge sensitive information to proprietary LLM providers, raising significant
privacy concerns. While open-source models, hosted locally on the user's machine, alleviate …

Artificial Intelligence (AI) systems are increasingly intertwined with daily life, assisting users
in executing various tasks and providing guidance on decision-making. This integration …

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 …

The proliferation of LLM-based conversational agents has resulted in excessive disclosure
of identifiable or sensitive information. However, existing technologies fail to offer …

Personalized support is essential to fulfill individuals' emotional needs and sustain their
mental well-being. Large language models (LLMs), with great customization flexibility, hold …