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Fei Wei

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Preprint Aug 2026

Private Direct Preference Optimization for LLM Alignment

This paper formalizes preference privacy, a label-DP-style privacy notion for DPO that protects only the relative preference between candidate responses, assuming an adversary who already knows the prompt and responses, and designs PrivDPO, a DPO variant that enforces preference privacy while remaining compatible with large-scale LLM training.

Yangfan Jiang, Fei Wei, Ergute Bao et al. · 0 citations

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