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Leveraging Diffusion and Flow Matching Models for Demographic Bias Mitigation of Facial Attribute Classifiers

Published research highlights the presence of demographic bias in automated facial attribute classification algorithms, notably im-pacting women and individuals with darker skin tones. Proposed bias mitigation techniques are not generalizable, need …

Demographic Bias Mitigation at Test-Time Using Uncertainty Estimation and Human-Machine Partnership

Facial attribute classification algorithms frequently manifest demographic biases by obtaining differential performance across gender and racial groups. Existing bias mitigation techniques are mostly in-processing techniques, i.e., implemented during …