4 papers
Selection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM Workflows
Jinghan Xu, Longze Fan, Zeyuan Wang +2
Structured multi-agent workflows exchange intermediate messages whose content and form can reveal private state even when the final output is safe. We identify selection-channel le…
MNC: Scope-Bound Semantic Declassification for Private LLM-Agent Communication
Jinghan Xu, Longze Fan, Zeyuan Wang +2
Multi-agent large language model (LLM) systems can expose protected state through internal messages, tool arguments, logs, and persistent memory even when their public outputs appe…
Beyond Single-Use Tokens: Durable Authorization State for Replay-Resistant LLM Agent Actions
Jinghan Xu, Longze Fan, Zeyuan Wang +2
Tool-using large language model agents frequently replan, retry failed operations, delegate tasks, and resume after crashes. These behaviors can cause one user authorization to be…
Policy-Backed Selective Regeneration under Tainted Inter-Agent Communication
Jinghan Xu, Longze Fan, Zeyuan Wang +2
Inter-agent communication is essential to multi-agent language-model systems, yet a single message may combine task-critical information with instructions not authorized by the ori…