5 Ways to Measure Privacy Risks in Text Data | HackerNoon
Overmasking in text sanitization may lead to unnecessary information loss, while many detected spans can remain in clear text with low re-identification risk.
How to Develop a Privacy-First Entity Recognition System | HackerNoon
The integration of Named Entity Recognition with knowledge graphs enhances the identification of personally identifiable information in text sanitization.
How to Develop a Privacy-First Entity Recognition System | HackerNoon
The integration of Named Entity Recognition with knowledge graphs enhances the identification of personally identifiable information in text sanitization.
Detecting and Masking Personal Data in Text | HackerNoon
Text sanitization is critical in concealing personal identifiers, ensuring privacy while analyzing text data. The study evaluates a two-step sanitization approach's efficacy on various datasets.
