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Zongru Wu

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#artificial intelligence Conference Open access Feb 2024

SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer

An entropy-based poisoning filter that mitigates task-agnostic backdoor attacks due to vulnerabilities in data and training mechanisms and injects multiple syntactic backdoors into the pre-training space through corpus poisoning, while preserving the PLM's pre-training capabilities.

Pengzhou Cheng, Wei Du, Zongru Wu et al. · 9 citations · ⚡3
Preprint Aug 2026

UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City

This paper proposes UrbanGround, the first sandbox to make this question testable in a physically constrained replica of Hong Kong built from territory-wide 3D geospatial data, and hopes it will support broader study of how far current MLLM agents can explore reliably in complex, open-ended urban environments.

Tianjie Ju, Zheng Wu, Yue-Qing Sun et al. · 2 citations

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