This story was originally published on HackerNoon at: https://hackernoon.com/research-round-up-on-anonymization-creating-data-that-enables-generalization-without-memorization.
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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