Privacy-Aware Decoding (PAD) injects calibrated Gaussian noise into token logits at inference time to provide per-response DP guarantees for retrieval-augmented generation.
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Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation
Privacy-Aware Decoding (PAD) injects calibrated Gaussian noise into token logits at inference time to provide per-response DP guarantees for retrieval-augmented generation.