42 citations · 106 across the 20 of their papers we have counts for
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cs.LG2023★ 2 cited
LogGPT: Log Anomaly Detection via GPT
Xiao Han, Shuhan Yuan, Mohamed Trabelsi
Detecting system anomalies based on log data is important for ensuring the security and reliability of computer systems. Recently, deep learning models have been widely used for lo…
cs.CR2023
Robust Fraud Detection via Supervised Contrastive Learning
Vinay M. S., Shuhan Yuan, Xintao Wu
Deep learning models have recently become popular for detecting malicious user activity sessions in computing platforms. In many real-world scenarios, only a few labeled malicious…
cs.LG2023
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…