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Open access 2026

PAIR: Against Inference-Time Attacks on Fine-Tuned LLMs via Path-Level Inference Randomization

PAIR, a dynamic framework that applies path-level randomization within LoRA adapters during inference, indicates that inference-time randomization at the path level can strengthen fine-tuned LLMs against the evaluated security and privacy attacks.

Jia-Yang Li, Tian-Qing Zhu, Da-Yong Ye et al. · 0 citations

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