Author

Yangfan Jiang

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#natural language process... Preprint Oct 2026

QuasiLeak-Bench: Evaluating LLM-Based Privacy Detectors on Policy-Conditioned Quasi-Evidence Group Recovery

Natural language messages often contain quasi-identifiers that are weak in isolation but can jointly reveal an individual's private attributes. We call such a jointly revealing set of cues a quasi-evidence group. Existing privacy benchmarks focus on explicit identifiers, attribute inference, or task-driven disclosures,...

Yu-Fan Zhu, Yang-Fan Jiang, Yang Fei et al. · 0 citations

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...

Yang-Fan Jiang, Fei Wei, Ergute Bao et al. · 0 citations

Jul 2026

Benchmarking Text-to-SQL under Role-Based Access Control

A comprehensive text-to-SQL benchmarking framework with realistic RBAC constraints is presented, which features an LLM-assisted workflow that augments existing text-to-SQL benchmarks with plausible user roles and access policies, and contains evaluation metrics that identify RBAC-specific failure modes, and disentangle...

Yang Fei, Yangfan Jiang, Yin Yang et al. · arXiv.org · 0 citations