Face Quality Measure for Face Authentication. - Quynh Chi Truong; Tran Khanh Dang; Trung Ha (FDSE, 2016)

Differential Privacy in Deep Learning: An Overview. - Trung Ha; Tran Khanh Dang; Tran Tri Dang; Tuan Anh Truong; Manh Tuan Nguyen (ACOMP, 2019)

Investigating Local Differential Privacy and Generative Adversarial Network in Collecting Data. - Trung Ha; Tran Khanh Dang (ACOMP, 2020)

Security and Privacy Issues in Deep Learning: A Brief Review. - Trung Ha; Tran Khanh Dang; Hieu Le; Tuan Anh Truong (SN Comput. Sci., 2020)

Comprehensive Analysis of Privacy in Black-Box and White-Box Inference Attacks Against Generative Adversarial Network. - Trung Ha; Tran Khanh Dang; Nhan Nguyen-Tan (FDSE, 2021)

Design-based single-mediator approach for complex survey data. - Thanh Pham; Trung Ha; Julia N. Soulakova (Commun. Stat. Simul. Comput., 2021)

Inference attacks based on GAN in federated learning. - Trung Ha; Tran Khanh Dang (Int. J. Web Inf. Syst., 2022)

Differential Privacy Under Membership Inference Attacks. - Trung Ha; Trang Vo; Tran Khanh Dang; Nguyen Thi Huyen Trang (FDSE, 2023)

Navigating Differential Privacy Constraints in Machine Learning. - Trung Ha; Tran Khanh Dang (FDSE (2), 2024)

A Comprehensive Fraud Detection for Credit Card Transactions in Federated Averaging. - Tran Khanh Dang; Trung Ha (SN Comput. Sci., 2024)

Evaluating Membership Inference Vulnerabilities in Variational Autoencoders with Differential Privacy. - Trung Ha; Tran Khanh Dang (IMCOM, 2025)

aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis. - Trung Ha; Joonas Nättilä; Jordy Davelaar (J. Open Source Softw., 2025)