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Author

Yan-Chun Li

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Preprint Sep 2026

ODPure: Backdoor Purification for Object Detection via Ensemble Corruption Consensus

ODPure is proposed, a novel input-stage black-box defense for object detection, which is based on input purification that ensures stable perception flows and provides robust defense against diverse backdoor attacks and trigger types while preserving baseline accuracy.

Li Zeng, Ming-Cheng Duan, Long-Fei Fan et al. · 0 citations
Jul 2026

GhostPrompt: Cross-Image Adversarial Prompt for Vision-Language Models

Vision-Language Models (VLMs) are known to be vulnerable to adversarial attacks, where subtle perturbations to images or texts induce erroneous outputs. However, most text-based attacks are adapted from language-model-centric methods, in which the visual input is fixed during optimization, resulting in adversarial prom...

Li Zeng, Ze-Yu Ye, Meng Xie et al. · 0 citations

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