CAFP averages a classifier's outputs on each input and its counterfactual with the protected attribute flipped, eliminating direct dependence on the attribute and achieving demographic parity under mild assumptions.
In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp
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CAFP: A Post-Processing Framework for Group Fairness via Counterfactual Model Averaging
CAFP averages a classifier's outputs on each input and its counterfactual with the protected attribute flipped, eliminating direct dependence on the attribute and achieving demographic parity under mild assumptions.