Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI
Medical image-text data can expose protected health information (PHI) through both visible image content as well as accompanying text, creating a barrier to privacy-preserving medical AI systems. This risk is especially prominent in multimodal systems, where images, questions, reports, and clinical context may enter training, evaluation, or inference pipelines. Existing medical vision-language benchmarks primarily emphasize task utility, while de-identification methods are often evaluated separately from downstream reasoning. We introduce ClinX, an end-to-end multimodal PHI sanitization framew
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via arxiv author · 85%Shiva Shrestha →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- LinkedLinked via arxiv author · 85%Zongxing Xie →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- LinkedLinked via arxiv author · 85%Bingchen Zhao →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- LinkedLinked via arxiv author · 85%Liran Ma →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- LinkedLinked via arxiv author · 85%Zhipeng Cai →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- LinkedLinked via arxiv author · 85%Honghui Xu →
“Masking Is Not Enough: Generative Restoration for Multimodal De-Identification in Medical AI”
- FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai →
“Fuzzy title match (0.92): “Masking Is Not Enough: Generative Restoration for Multimodal” ≈ “GoogleCloudPlatform/generative-ai””
- FuzzySimilar title/name (fuzzy) · 59%steven2358/awesome-generative-ai →
“Fuzzy title match (0.73): “Masking Is Not Enough: Generative Restoration for Multimodal” ≈ “steven2358/awesome-generative-ai””