A systematization of the literature showing that dataset size and group distance to the decision boundary, not the choice of DP algorithm, are likely the decisive factors in privacy-induced unfairness.
Disparate impact in differential privacy from gradient misalignment,
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SoK: What Makes Private Learning Unfair?
A systematization of the literature showing that dataset size and group distance to the decision boundary, not the choice of DP algorithm, are likely the decisive factors in privacy-induced unfairness.