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Yu-Long Shen

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Preprint Aug 2026

Noise-Aware Shrinkage for Differentially Private Zeroth-Order Fine-Tuning of Large Language Models

SAGE is proposed, a noise-aware shrinkage method that adaptively attenuates privatized estimates according to their estimated signal quality, and shows that shrinkage reduces the quadratic update-risk term faster than the linear descent term, preserving useful descent while limiting the influence of noise-dominated upd...

Le-Le Zheng, Wei-Feng Kong, Xinyi Zhang et al. · 0 citations
Preprint Sep 2026

One Pipeline Does Not Fit All: TAILOR, a Type- and State-Aware Framework for CVE Reproduction

TAILOR broadens the coverage of automated CVE reproduction and provides auditable evidence for vulnerability diagnosis and defense and ablation experiments show that the two control levels respectively mitigate execution-path mismatch and missing Web prerequisite state.

Ji He, Huang Zhang, Li-Jie Zheng et al. · 0 citations

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