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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yu-Ting Li

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2 papers indexed here

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2026

PI-SAFE: Practical Privacy-Preserving LLM Inference With Adversarial Fine-Tuning for Optimized Utility

Cloud-based Large Language Model (LLM) inference services typically require users to submit plain-text inputs, thereby posing severe privacy risks. Existing privacy-preserving paradigms are mostly task-specific and often necessitate pervasive modifications to the entire server-side model. This reliance introduces subst...

Wentao Zhong, Yu-Ting Li, Di-Cong Yu et al. · 0 citations
Preprint Aug 2026

Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding

A family of new bounds that are tighter, applicable even to fully deterministic encoders, and applicable even to fully deterministic encoders can extend beyond MSE to other norm-based similarity metrics, by properly accounting for the encoder's spectral structure.

Seokjin Hwang, Yu-Ting Li, Kiwan Maeng · 0 citations

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