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Gaojie Jin

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#machine learning Preprint Sep 2026

On the Capability and Limitation of Hard Prompt

These findings not only offer the first theoretical insights into hard prompts but also provide provably reliable practical guidance for real-world LLM usage.

Li-Jia Yu, Shuai-Tong Liu, Gao-Jie Jin et al. · 0 citations
Preprint Aug 2026

Once Poisoned, Arbitrarily Controlled: A Programmable Backdoor in VLMs

This work shows that a single poisoning phase can implant a programmable backdoor into a VLM, allowing an attacker to choose previously unseen target-caption semantics at inference time and synthesize corresponding stealthy triggers on demand.

Tao Lin, Gao-Jie Jin, Zongxi Liu et al. · 0 citations

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