Youngwoo Kwon

Comparison of Program Representations on Vulnerability Detection with Graph Neural Networks

2021 · IEIE Transactions on Smart Processing and Computing

As software vulnerabilities have surged, efforts to discover them have increased. The syntactic and semantic information of a program is required to detect vulnerabilities. Each information can be represented as a graph, such as Abstract …

Pre-LogMGAE: Identification of Log Anomalies Using a Pre-Trained Masked Graph Autoencoder

2024

Log-based anomaly detection in software systems is becoming increasingly crucial for monitoring network operations and ensuring system security. Deep learning-based methods are widely used for large-scale log anomaly detection due to their capacity to learn …