Balanced Twin Auto-Encoder for IoT Intrusion Detection. - Phai Vu Dinh; Diep N. Nguyen; Dinh Thai Hoang; Nguyen Quang Uy; Son Pham Bao; Eryk Dutkiewicz (GLOBECOM, 2022)

Twin Variational Auto-Encoder for Representation Learning in IoT Intrusion Detection. - Phai Vu Dinh; Nguyen Quang Uy; Diep N. Nguyen; Dinh Thai Hoang; Son Pham Bao; Eryk Dutkiewicz (WCNC, 2022)

A Deep Learning Approach for Outlier Detection in Heterogeneous/Non-IID Data. - Phai Vu Dinh; Diep N. Nguyen; Dinh Thai Hoang; Quang Uy Nguyen; Trung Hieu Le; Son Pham Bao; Eryk Dutkiewicz (GLOBECOM, 2024)

Multiple-Input Auto-Encoder for IoT Intrusion Detection Systems with Heterogeneous Data. - Phai Vu Dinh; Dinh Thai Hoang; Nguyen Quang Uy; Diep N. Nguyen; Son Pham Bao; Eryk Dutkiewicz (ICC, 2024)

Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection. - Phai Vu Dinh; Quang Uy Nguyen; Dinh Thai Hoang; Diep N. Nguyen; Son Pham Bao; Eryk Dutkiewicz (CoRR, 2024)

Multiple-Input Auto-Encoder Guided Feature Selection for IoT Intrusion Detection Systems. - Phai Vu Dinh; Diep N. Nguyen; Dinh Thai Hoang; Quang Uy Nguyen; Eryk Dutkiewicz; Son Pham Bao (CoRR, 2024)

Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems. - Phai Vu Dinh; Quang Uy Nguyen; Dinh Thai Hoang; Diep N. Nguyen; Son Pham Bao; Eryk Dutkiewicz (IEEE Internet Things J., 2024)

A Dual-Decoder Variational Auto-Encoder for Anomaly Detection. - Phai Vu Dinh; Diep N. Nguyen; Dinh Thai Hoang; Quang Uy Nguyen; Son Pham Bao; Eryk Dutkiewicz (WCNC, 2025)

Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data. - Phai Vu Dinh; Diep N. Nguyen; Dinh Thai Hoang; Quang Uy Nguyen; Eryk Dutkiewicz (CoRR, 2025)