The Text Beside the Image: Detection, Utility and Leakage for Trustworthy Multimodal Medical Data and Beyond

arXiv:2609.33280 · cs.CL, cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CL, cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/data-privacy-stack/presidio

Terminology

• Alignment — 7× in this paper · explained in 1 episode
• Benchmark — 6× in this paper · explained in 2 episodes
• Abstention — 3× in this paper · explained in 1 episode
• Transformer — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Gemma 4 Technical Report
• Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
• Magistral
• No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
• The Enron Corpus: Where the Email Bodies are Buried?
• gpt-oss-120b & gpt-oss-20b Model Card
• BRATsynthetic: Text De-identification using a Markov Chain Replacement Strategy for Surrogate Personal Identifying Information
• OpenAI Privacy Filter: A Cross-Lingual, Cross-Domain PII Evaluation Across 32 Benchmarks
• REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection
• Qwen3 Technical Report

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• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering