Observable Channels, Not Just Storage: Evaluating Privacy Leakage in LLM Agent Pipelines

By: Tao Huang, Jayong Mang

Published: 2026-03-30

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Abstract

This paper redefines privacy leakage in LLM agent pipelines as a channel inversion problem. This novel formulation moves beyond specific system components, enabling a more generalized understanding of how hidden dependencies become observable signals. CIpl introduces a target independent framework to represent any LLM agent system through a common signature.

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Observable Channels, Not Just Storage: Evaluating Privacy Leakage in LLM Agent Pipelines | ArXiv Intelligence