Research Round Up: On Anonymization -Creating Data That Enables Generalization Without Memorization
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Anonymization is what lets us take the most sensitive information and transform it into a safe, usable substrate for machine learning.
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Anonymization is what lets us take the most sensitive information and transform it into a safe, usable substrate for machine learning. Without it, data stays locked down. With it, we can train models that are both powerful and responsible.
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