Research Round Up: On Anonymization -Creating Data That Enables Generalization Without Memorization
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Research Round Up: On Anonymization -Creating Data That Enables Generalization Without Memorization
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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.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #data-privacy, #privacy, #anonymization, #privacy-enhancing-technologies, #enterprise-ai, #ai-security, #what-is-anonymization, #private-evolution, and more.
This story was written by: @yaw.etse. Learn more about this writer by checking @yaw.etse's about page, and for more stories, please visit hackernoon.com.
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.