INTACT generates abstraction-sorted replacement candidates for sensitive spans and selects the most specific candidate that resists LLM-based inference attacks, achieving a strong privacy-utility trade-off on the Text Anonymization Benchmark.
Leveraging synonymy and polysemy to improve semantic similarity assessments based on intrinsic information content
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Truthful Text Sanitization Guided by Inference Attacks
INTACT generates abstraction-sorted replacement candidates for sensitive spans and selects the most specific candidate that resists LLM-based inference attacks, achieving a strong privacy-utility trade-off on the Text Anonymization Benchmark.