Author

Meng Ding

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Preprint Oct 2026

Differentially Private Sparse Reward Estimation with Preference Feedback

Reinforcement Learning with Human Feedback (RLHF) has become a central paradigm for aligning Large Language Models with human values. However, the reliance on sensitive preference data necessitates rigorous differential privacy (DP) guarantees to prevent user information leakage. Existing private alignment methods typi...

Meng Ding, Ming-Xi Lei, Jie Zhang et al. · 1 citation