2 citations · 4 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
Adaptive Fairness Improvement Based on Causality Analysis
Mengdi Zhang, Jun Sun
Given a discriminating neural network, the problem of fairness improvement is to systematically reduce discrimination without significantly scarifies its performance (i.e., accurac…
cs.LG2022★ 1 cited
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination
Mengdi Zhang, Jun Sun, Jingyi Wang +1
Discrimination has been shown in many machine learning applications, which calls for sufficient fairness testing before their deployment in ethic-relevant domains such as face reco…