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Home / Glossary / Data re-identification

What is Data re-identification?

Data re-identification is the process of reversing data anonymization techniques to identify individuals within a dataset. It poses privacy risks, as previously de-identified data can be matched with external sources to reveal sensitive personal information. This issue is addressed by privacy regulations such as GDPR, which impose strict penalties for unauthorized re-identification.

Related Glossaries

  • Context-aware De-identification Context-aware De-identification refers to the removal or replacement of identifying elements based on their meaning and role within the data or prompt. Rather than simply deleting information, it aims to reduce exposure while preserving usability.
  • Balanced data Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.
  • State Diff / State Comparison State Diff or State Comparison refers to the process of identifying meaningful differences between two data states or execution states. It helps teams determine which changes may have affected AI behavior or output.
  • Big Data Analytics Big data analytics involves examining large and complex datasets to uncover patterns, correlations, and insights. It utilizes machine learning, statistical methods, and data visualization techniques to drive informed decision-making across industries.
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