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
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
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
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