4 papers
Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection
Shaobo Liu, Zihao Zhao, Weijie He +3
Privacy-preserving network anomaly detection has become an essential area of research due to growing concerns over the protection of sensitive data. Traditional anomaly detection m…
Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
Haowei Yang, Mingxiu Sui, Shaobo Liu +3
With the rapid development of natural language processing technology, large language models have demonstrated exceptional performance in various application scenarios. However, tra…
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications
Shaobo Liu, Guiran Liu, Binrong Zhu +3
This research addresses privacy protection in Natural Language Processing (NLP) by introducing a novel algorithm based on differential privacy, aimed at safeguarding user data in c…
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis
Mengfang Sun, Wenying Sun, Ying Sun +3
This paper presents a novel approach to credit risk prediction by employing Graph Convolutional Neural Networks (GCNNs) to assess the creditworthiness of borrowers. Leveraging the…