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Differential Privacy in LLMs

DP adds calibrated noise to training, preventing memorization of individual data points.

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Evaluation

  • Metrics: Epsilon via accountants; utility via downstream tasks.
  • Trade-offs: Noise degrades performance; scale data to mitigate.
Section 5 of 6
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