Yu Xie

A Novel Information-Entropy-Based Feature Extraction Method for Transaction Fraud Detection

2021

Machine learning methods are widely used in transaction fraud detection. The information-entropy-based feature extraction methods have been employed to improve the machine learning methods for fraud detection. However, the following two aspects have been ignored …

Time-Aware Attention-Based Gated Network for Credit Card Fraud Detection by Extracting Transactional Behaviors

2022 · IEEE Transactions on Computational Social Systems

With the popularity of credit cards worldwide, timely and accurate fraud detection has become critically important to ensure the safety of their user accounts. Existing models generally utilize original features or manually aggregated features as …

A Spatial-temporal Gated Network for Credit Card Fraud Detection

2023

Timely and accurate credit card fraud detection (CCFD) is concerned by all financial institutions. Existing CCFD methods generally employ aggregated or raw features as their representations to train their detection models. Yet such features tend …

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models

2024 · arXiv (Cornell University)

Large Language Models (LLMs) have training corpora containing large amounts of program code, greatly improving the model's code comprehension and generation capabilities. However, sound comprehensive research on detecting program vulnerabilities, a more specific task related …