2 citations · 2 across the 4 of their papers we have counts for
4 papers
Algorithmic Recourse in Abnormal Multivariate Time Series
Xiao Han, Lu Zhang, Yongkai Wu +1
Algorithmic recourse provides actionable recommendations to alter unfavorable predictions of machine learning models, enhancing transparency through counterfactual explanations. Wh…
Achieving Counterfactual Fairness for Anomaly Detection
Xiao Han, Lu Zhang, Yongkai Wu +1
Ensuring fairness in anomaly detection models has received much attention recently as many anomaly detection applications involve human beings. However, existing fair anomaly detec…
On Root Cause Localization and Anomaly Mitigation through Causal Inference
Xiao Han, Lu Zhang, Yongkai Wu +1
Due to a wide spectrum of applications in the real world, such as security, financial surveillance, and health risk, various deep anomaly detection models have been proposed and ac…
Generating Textual Adversaries with Minimal Perturbation
Xingyi Zhao, Lu Zhang, Depeng Xu +1
Many word-level adversarial attack approaches for textual data have been proposed in recent studies. However, due to the massive search space consisting of combinations of candidat…