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CIPL: A Channel-Aware Framework for Recoverable Privacy Leakage in LLM Agents
Privacy leakage in LLM agents is commonly evaluated within individual components such as memory, retrieval, or tool-use pipelines, which makes it difficult to distinguish internal exposure from information that an external observer can actually recover. We present CIPL (Channel Inversion for Privacy
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