Author

Dayong Ye

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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. · IEEE Transactions on Informa... · 0 citations

Preprint Aug 2026

HalluTracer: Pre-Decoding Truthfulness Prediction via Depth-Averaged Probe-Logit

The proposed method HalluTracer, which averages layer-wise probe logits to predict truthfulness before decoding, achieves the highest area under the receiver operating characteristic curve (AUROC) in 23 of 24 model--benchmark pairs among the compared methods.

Zhi-Hao Guo, Zong-Han Wu, Huan Huo et al. · 0 citations

#natural language process... Preprint Aug 2026

HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals

HalluTracer is introduced, a detection framework that reads and aggregates truthfulness evidence across every layer of the forward pass before the model emits any answer token, recasts hallucination detection from a layer-selection problem into a depth-aggregation problem governed by the geometric sparsity of the truth...

Zhi-Hao Guo, Zong-Han Wu, Huan Huo et al. · 0 citations