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Home/Authors/Hongbin Liu

Hongbin Liu

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2Vision×2AI×1ML×1

Frequent co-authors

Neil Zhenqiang Gong2×
Zhengyuan Jiang1×
Cheng Hong1×
Zedian Shao1×
Yuepeng Hu1×

Research Timeline

2026
Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

The paper introduces ImageProtector, a user-side method that embeds an imperceptible perturbation into images to prevent Multi-modal Large Language Models (MLLMs) from analyzing and extracting sensitive information from them.

Robustness of Vision Foundation Models to Common Perturbations

This paper systematically studies the robustness of vision foundation models to common image perturbations, finding that most models are generally non-robust and proposing a fine-tuning method to improve this resilience.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.CVRecentApr 16, 2026

Robustness of Vision Foundation Models to Common Perturbations

Hongbin Liu, Zhengyuan Jiang, Cheng Hong, Neil Zhenqiang Gong

This paper systematically studies the robustness of vision foundation models to common image perturbations, finding that most models are generally non-robust and proposing a fine-tuning method to impr…

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cs.CVcs.AIcs.CRRecentApr 10, 2026

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong

The paper introduces ImageProtector, a user-side method that embeds an imperceptible perturbation into images to prevent Multi-modal Large Language Models (MLLMs) from analyzing and extracting sensiti…

View →