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MultiFair: Model Fairness With Multiple Sensitive Attributes

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0 Published in 2024 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2024.3384181

Abstract: While existing fairness interventions show promise in mitigating biased predictions, most studies concentrate on single-attribute protections. Although a few methods consider multiple attributes, they either require additional constraints or prediction heads, incurring high computational overhead… read more here.

Keywords: information; fairness multiple; multifair model; sensitive attributes ... See more keywords