Author

Yu-Fan Zhu

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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

FESC: Remodeling Long-Context Private Inference with Encrypted State-Space Models

Factorized Encrypted Scan-Contract (FESC), a hybrid FHE-MPC system for private long-context selective SSM inference, is presented, and is the first private long-document inference system to complete native end-to-end execution at $L \geq 1{,}024$ on a single GPU.

Yu-Fan Zhu, Chao Jin, Khin Mi Mi Aung et al. · 0 citations