Trung Ha

13 papers Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Evaluating Membership Inference Vulnerabilities in Variational Autoencoders with Differential Privacy.
IMCOM
Trung Ha, Tran Khanh Dang
2025 J jnl
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis.
CoRR
Trung Ha, Joonas Nättilä, Jordy Davelaar
2025 J jnl
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis.
J. Open Source Softw.
Trung Ha, Joonas Nättilä, Jordy Davelaar
2024 J jnl
A Comprehensive Fraud Detection for Credit Card Transactions in Federated Averaging.
SN Comput. Sci.
Tran Khanh Dang, Trung Ha
2024 — conf
Navigating Differential Privacy Constraints in Machine Learning.
FDSE (2)
Trung Ha, Tran Khanh Dang
2023 — conf
Differential Privacy Under Membership Inference Attacks.
FDSE
Trung Ha, Trang Vo, Tran Khanh Dang, Nguyen Thi Huyen Trang
2022 J jnl
Inference attacks based on GAN in federated learning.
Int. J. Web Inf. Syst.
Trung Ha, Tran Khanh Dang
2021 — conf
Comprehensive Analysis of Privacy in Black-Box and White-Box Inference Attacks Against Generative Adversarial Network.
FDSE
Trung Ha, Tran Khanh Dang, Nhan Nguyen-Tan
2021 J jnl
Design-based single-mediator approach for complex survey data.
Commun. Stat. Simul. Comput.
Thanh Pham, Trung Ha, Julia N. Soulakova
2020 — conf
Investigating Local Differential Privacy and Generative Adversarial Network in Collecting Data.
ACOMP
Trung Ha, Tran Khanh Dang
2020 J jnl
Security and Privacy Issues in Deep Learning: A Brief Review.
SN Comput. Sci.
Trung Ha, Tran Khanh Dang, Hieu Le, Tuan Anh Truong
2019 — conf
Differential Privacy in Deep Learning: An Overview.
ACOMP
Trung Ha, Tran Khanh Dang, Tran Tri Dang, Tuan Anh Truong, Manh Tuan Nguyen
2016 — conf
Face Quality Measure for Face Authentication.
FDSE
Quynh Chi Truong, Tran Khanh Dang, Trung Ha