From the 1 of 5 linked papers with an AI index.
5 papers
Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
Yinan Gao, Jiarong Xu, Xiaohang Zhao +1
The paper introduces MalGuard, a graph‑based malware detection system that groups basic blocks into operational roles and learns expressive program‑graph representations to improve…
Traceable LLM Reasoning for Fake-Order Fraud Detection
Siqi You, Bingsong Xu, Zhixian Zheng +4
Detecting fake-order fraud at scale remains a critical challenge for large online-to-offline (O2O) service platforms, as existing approaches often rely on expert-designed features,…
Privacy-Preserving Credit Risk Prediction with Alternative Data
Hongzhe Zhang, Jiarong Xu, Jing He +1
Credit risk prediction is a critical problem in the consumer credit industry. Traditionally, financial institutions construct credit risk prediction models using borrowers' demogra…
Secure Confidential Business Information When Sharing Machine Learning Models
Yunfan Yang, Jiarong Xu, Hongzhe Zhang +1
Model-sharing offers significant business value by enabling firms with well-established Machine Learning (ML) models to monetize and share their models with others who lack the res…
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework
Yiran Qiao, Xiang Ao, Yang Liu +3
Recent prevailing works on graph machine learning typically follow a similar methodology that involves designing advanced variants of graph neural networks (GNNs) to maintain the s…