Qingzhong Li

An Effective Hybrid Fraud Detection Method

2015 · Lecture notes in computer science

The rapid growth of data makes it possible for us to study human behavior patterns. Knowing the patterns of human behavior is of great use to help us detect the unusual fraud human behavior. Existing …

Healthcare Fraud Detection Based on Trustworthiness of Doctors

2016

Big data is now rapidly expanding into various domains such as banking, insurance and e-commerce. Data analysis and related studies have attracted more attentions. In health insurance, abuse of diagnosis is one of the key …

ETTF: A Trusted Trading Framework Using Blockchain in E-commerce

2018

Improving efficiency and performance is an important topic in the world today. As it is well-known, cooperative computing is an effective and traditional approach, and it is widely used in various fields. Inspired by this …

Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure

2025 · ACM Transactions on Information Systems

Federated Recommendation (FedRec) systems are recognized as privacy-preserving solutions for collaboratively training recommender models without sharing users’ private data. However, recent studies have revealed that FedRec systems are vulnerable to interaction-level membership inference attacks. In …