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Posts tagged #deidentification

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LLMs can unmask pseudonymous users at scale with surprising accuracy Pseudonymity has never been perfect for preserving privacy. Soon it may be pointless.

Time to rethink whether #DeIdentification #Anonymization provides any #privacy protection at all.

Of _course_ #ArtificialIntelligence #LargeLanguageModels are fantastic at re-identifying users. It is the exact type of task they excel at--finding correlations in data

arstechnica.com/security/202...

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Giouroukou et al. review imaging data preparation for AI use: methods for protecting patient privacy https://doi.org/10.1148/ryai.250273 #FederatedLearning #deidentification #ML

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

New Special Report! Methods for preparing imaging data for AI while protecting privacy https://doi.org/10.1148/ryai.250273 #MachineLearning #deidentification #ML

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Giouroukou et al. review imaging data preparation for AI use: methods for protecting patient privacy https://doi.org/10.1148/ryai.250273 #deID #deidentification #ML

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

New Special Report! Methods for preparing imaging data for AI while protecting privacy https://doi.org/10.1148/ryai.250273 #FederatedLearning #deidentification #ML

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Image from article in Radiology: Artificial Intelligence

Image from article in Radiology: Artificial Intelligence

Giouroukou et al. review imaging data preparation for AI use: methods for protecting patient privacy https://doi.org/10.1148/ryai.250273 #MachineLearning #deID #deidentification

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Controlled Generation for Private Synthetic Text Text anonymization is essential for responsibly developing and deploying AI in high-stakes domains such as healthcare, social services, and law. In this work, we propose a novel methodology for privac...

🔗 Paper & code
Paper is accepted to EMNLP 2025 Main
arXiv: arxiv.org/abs/2509.25729
Code: github.com/zzhao71/Cont...
#SyntheticData #Privacy #NLP #LLM #Deidentification #HealthcareAI #LLM

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@JohnSnowLabs 🗣️ Book a meeting with our team today: hubs.li/Q03800pZ0

#HIMSS25 #HIMSS #DigitalHealth #HealthcareInnovation #deidentification #Databricks #AWS #Carahsoft #AIinHealthcare #HealthcareLLMs #MedicalLLM #ClinicalLLM #DigitalTransformation #HealthIT @HIMSS

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#Deidentification headache of the day: @KirkJNahrawork doesn't get why prior panel thought #HIPAA de-ID standard was bad. "It's the best standard we have." Seems to me if people are still complaining, there's some irony here?

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'Data is a fingerprint': why you aren't as anonymous as you think online So-called ‘anonymous’ data can be easily used to identify everything from our medical records to purchase histories

"Instead of releasing large data sets, researchers and governments should develop interfaces that allow others to ask questions of the data without accessing the raw files." #deidentification #MondayFunday

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Uh oh, the #deidentification debate is heading for #agdata!

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Quick recap of our #deidentification workshop on @DailyDashboard:

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