PRIVACY PROTECTION TUNING FOR LLMS IN MEDICAL DECISION MAKING
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United States of America Patent
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Issued Date -
Mar 27, 2025
app pub date -
Sep 9, 2024
filing date -
Sep 9, 2024
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Abstract
Methods and systems include annotating a set of training data to indicate tokens that are sensitive. Instructions are generated based on the training data, including original token sequences and respective substituted token sequences. A language model is fine-tuned using the instructions with a penalty-based loss function to generate a privacy-protected language model.
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