LayerToFair: An Efficient Post-processing Framework for Layer-aware Fairness Repair of Deep Neural Networks
DNNs are increasingly deployed in high-stakes information systems, where fairness is a critical requirement. Existing post-processing methods can repair unfairness without retraining or accessing original data, but they often treat all layers indiscriminately, resulting in high computational cost and suboptimal effecti...