2025
Enhancing Robust Fairness via Confusional Spectral Regularization
ICLR 2025poster
Recent research has highlighted a critical issue known as ``robust fairness", where robust accuracy varies significantly across different classes, undermining the reliability of deep neural networks (DNNs). A common approach to address this has been to dynamically reweight classes during training,…