most citedMAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2024★ 9 cited

MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search

Zhaohui Wang, Min Zhang, Jingran Yang +1

Deep neural networks (DNNs) have shown powerful performance in various applications and are increasingly being used in decision-making systems. However, concerns about fairness in…