IEEE

Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations

Abstract: Insider threat detection (ITD) remains a significant challenge in cybersecurity due to the concealed nature of malicious activities by trusted insiders. This paper introduces a novel ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection

Abstract: Deepfake detection plays a key role in preventing the misuses of artificial intelligence in video editing. Current deep learning-based deepfake detection methods often perform quite well in ...