MLP (DL baseline) with and without adversarial robustness (adversarial debiasing).
收藏数据链接:
官方服务:
资源简介:
Entries are mean ± 95% CI over 10-fold CV. Higher is better for Accuracy/F1/AUROC; lower is better for fairness gaps (SPD, EOD).
创建时间:
2026-02-23

Entries are mean ± 95% CI over 10-fold CV. Higher is better for Accuracy/F1/AUROC; lower is better for fairness gaps (SPD, EOD).