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Implement effective $\varepsilon$ as a metric. #58

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fhoussiau opened this issue Jun 22, 2022 · 0 comments
Open

Implement effective $\varepsilon$ as a metric. #58

fhoussiau opened this issue Jun 22, 2022 · 0 comments
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fhoussiau commented Jun 22, 2022

  • Add a ROC-curve metric, $(FP_\tau, TP_\tau)_{\tau\in\mathbb{R}}$, to compare attacks.
  • Add a simple estimation of $\varepsilon^\text{eff}$ as $\max_{\tau} \frac{TP_\tau}{FP_\tau}$ (with some minimum number of samples to make sure that the estimate is well-defined).
  • Implement Clopper-Pearson bounds confidence intervals for TP and FP, in order to have a statistically-significant estimate of $\varepsilon^{eff}$.
@fhoussiau fhoussiau created this issue from a note in privacy-sdg-toolbox (To do) Jun 22, 2022
@fhoussiau fhoussiau self-assigned this Jun 22, 2022
@fhoussiau fhoussiau moved this from To do to In progress in privacy-sdg-toolbox Aug 17, 2022
@fhoussiau fhoussiau moved this from In progress to In Review in privacy-sdg-toolbox Aug 25, 2022
@fhoussiau fhoussiau moved this from In Review to Done in privacy-sdg-toolbox Dec 21, 2022
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