3 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
cs.SE2022
Causality-based Neural Network Repair
Bing Sun, Jun Sun, Hong Long Pham +1
Neural networks have had discernible achievements in a wide range of applications. The wide-spread adoption also raises the concern of their dependability and reliability. Similar…
cs.LG2021★ 3 cited
Probabilistic Verification of Neural Networks Against Group Fairness
Bing Sun, Jun Sun, Ting Dai +1
Fairness is crucial for neural networks which are used in applications with important societal implication. Recently, there have been multiple attempts on improving fairness of neu…