4 papers
Do LLM Agents Negotiate Rationally? A Mechanism-Design Framework for Verifiable Multi-Agent Interaction over A2A/MCP
Wael Albayaydh, Rui Zhao
Modern LLM-agent frameworks increasingly interoperate through standards such as Anthropic's Model Context Protocol (MCP) for agent-to-tool access and Google's Agent2Agent (A2A) pro…
Regulation, Power, and the Compliance 1 Paradox: A Longitudinal Study of Smart Homes
Wael Albayaydh, Ivan Flechais, Rui Zhao
Smart home technologies are becoming increasingly embedded in domestic environments, yet their implications for power, privacy, and inequality remain insufficiently understood, par…
Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents
Wael Albayaydh, Rui Zhao, Ivan Flechais
Large language model (LLM) agents are increasingly evaluated on their ability to use tools, plan multi-step tasks, coordinate with other agents, and operate over extended horizons.…
AI For Privacy in Smart Homes: Exploring How Leveraging AI-Powered Smart Devices Enhances Privacy Protection
Wael Albayaydh, Ivan Flechais, Rui Zhao +1
Privacy concerns and fears of unauthorized access in smart home devices often stem from misunderstandings about how data is collected, used, and protected. This study explores how…