A Structured Framework for Adaptive Anonymizer (SFAA) uses local LLMs to reliably and context-awarely detect, classify, and anonymize sensitive data in qualitative transcripts. It applies four strategies—substitution, rewriting, generalization, and suppression—based on identifier type and risk level, adhering to international privacy standards.
SFAA is a new system that uses AI to automatically find and hide sensitive information in research notes, making the process faster, more consistent, and better at understanding context than old methods. It helps researchers protect privacy and follow rules like GDPR and HIPAA by applying different anonymization techniques based on how risky the information is.
SFAA
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