1 citations · 3 across the 4 of their papers we have counts for
4 papers
Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang +2
Anomaly detection (AD) plays a pivotal role in AI applications, e.g., in classification, and intrusion/threat detection in cybersecurity. However, most existing methods face challe…
Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems
Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang +3
While intrusion detection systems (IDSs) benefit from the diversity and generalization of IoT data features, the data diversity (e.g., the heterogeneity and high dimensions of data…
Teacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack Detection
Phai Vu Dinh, Diep N. Nguyen, Dinh Thai Hoang +4
Knowledge distillation (KD) has been widely used to improve lightweight AI models by transferring soft-label knowledge from a large teacher model to a student model. However, exist…
Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang +3
Intrusion detection systems (IDSs) play a critical role in protecting billions of IoT devices from malicious attacks. However, the IDSs for IoT devices face inherent challenges of…