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cs.AI2026

Janus: a Playground for User-Involved Agentic Permission Management

Natalie Grace Brigham, Eugene Bagdasarian, Tadayoshi Kohno +1

AI agents that autonomously execute tool calls on a user's behalf raise pressing questions about permission management: what role could users play, and what role should they play?…

cs.AI2026

AI Snitches Get Glitches: Towards Evading Agentic Surveillance

Hyejun Jeong, Dzung Pham, Amir Houmansadr +1

To better assist users with completing challenging tasks, AI agents mediate communications, access data, and interact with different APIs. Many employers (and even nation-states) a…

cs.AI2026

Understanding Persuasion in Long-Running Agents

Hyejun Jeong, Amir Houmansadr, Shlomo Zilberstein +1

Modern AI agents increasingly combine conversational interaction with autonomous task execution, such as coding and web research, raising a natural question: What happens when an a…

cs.AI2026

SPILLage: Agentic Oversharing on the Web

Jaechul Roh, Eugene Bagdasarian, Hamed Haddadi +1

LLM-powered agents are beginning to automate user's tasks across the open web, often with access to user resources such as emails and calendars. Unlike standard LLMs answering ques…

cs.AI2025

Terrarium: Revisiting the Blackboard for Multi-Agent Safety, Privacy, and Security Studies

Mason Nakamura, Abhinav Kumar, Saaduddin Mahmud +3

A multi-agent system (MAS) powered by large language models (LLMs) can automate tedious user tasks such as meeting scheduling that requires inter-agent collaboration. LLMs enable n…