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A user reported that Meta's Muse AI assistant mistakenly initiated a MacBook purchase based on a conversation that never occurred, raising concerns about cross-user context leakage.
This paper investigates how sensitive information in a language model's context window can inadvertently leak into outputs, enabling secret reconstruction through novel attacks, with experiments showing significant leakage across proprietary models.