Author

Qirui Huang

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Preprint Oct 2026

Context-Shielded Backdoor Attack against Large Vision-Language Models

Large vision-language models (LVLMs) routinely use inference-time visual-token compression to prune hundreds of patch tokens down to a compact budget. Existing LVLM backdoors fire whenever a triggered image appears, whereas prior deployment-triggered attacks activate only when model weights are quantized or pruned. How...

Zhi-Fang Zhang, Qi-Rui Huang, Chen-Peng Wang et al. · 0 citations

Jul 2026

From Multiplicity to Vulnerability: Privacy Amplification Risk from One-Dataset-Multiple-Model Exposure

This work establishes a theoretical framework that proves that privacy leakage accumulates as more ODMM models are exposed, and proposes PRIME (Privacy Amplification RIsk from One-Dataset-Multiple-Model Exposure) to systematically assess this risk and quantify the resulting leakage using membership inference attacks (M...

Qirui Huang, Na Li, Hong-Sheng Hu et al. · arXiv.org · 0 citations