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Image-embedded prompt injection vulnerability of vision-language models in dental radiology: a cross-vendor attack–defense evaluation

2026-07-01

Abstract excerpt

<title>Abstract</title> <p>Image-embedded prompt injection — adversarial text rendered into the pixel data of medical images — is an emerging threat to vision-language models (VLMs) used in clinical decision support. We systematically evaluated this vulnerability across four production-tier VLMs (GPT-4o, Gemini 2.5 Flash, Claude Sonnet 4.5, MedGemma 4B) on 270 dental panoramic radiographs from the DenTeX dataset...

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Literature Corpus work
03601834-cf94-5beb-bec7-98b2de6cf07c
DOI
10.21203/rs.3.rs-9932271/v1
Open publication

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Image-embedded prompt injection vulnerability of vision-language models in dental radiology: a cross-vendor attack–defense evaluationDOI 10.21203/rs.3.rs-9932271/v1
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