Tuan Tran's homepage

My name is Van-Tuan Tran 🇻🇳.

I am inspired by natural intelligence and aim to build collective, adaptable, and efficient intelligent systems.

At present, I am a PhD candidate at Trinity College Dublin, where my focus is centered on improving the adatability of Federated Learning systems.

Also check out my professional site at gmd-ai.com.

news

Jan 20, 2026	🎉 Paper accepted! 🎉 Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection has been accepted at AAAI Conference on Artificial Intelligence.
Nov 26, 2025	📝 New preprint released! Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Nov 20, 2025	🎉 Paper accepted! 🎉 A Survey on Proactive Deepfake Defense: Disruption and Watermarking has been accepted at ACM Computing Surveys.
Jul 01, 2025	🎉 Paper accepted! 🎉 Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation has been accepted at International Joint Conference on Artificial Intelligence (IJCAI).
Jun 19, 2025	📝 New preprint released! FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE
Mar 06, 2025	🎉 Paper accepted! 🎉 D-Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models has been accepted at ICLR Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning (MCDC@ICLR).
Jun 30, 2024	🎉 Paper accepted! 🎉 D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack has been accepted at International Joint Conference on Neural Networks (IJCNN).
Jan 31, 2024	🎉 Paper accepted! 🎉 Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning has been accepted at IEEE Transactions on Emerging Topics in Computing.
Sep 01, 2023	🎓 I am a PhD student at the School of Statistics and Computer Science at Trinity College Dublin 🇮🇪, under the supervision of Prof. Marco Ruffini 👨‍🏫 and Dr. Merim Dzaferagic 👨‍🏫.
Jan 01, 2023	🎉 Paper accepted! 🎉 Learning From Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis has been accepted at IEEE Access.
Jan 10, 2022	I join VinUni-Illinois Smart Health Centre 🏥 as Research Assistant to work on the project of Privacy-Preserving, Robust, and Explainable Federated Learning Framework for Healthcare System 🤖🔒🩺. 🔄
Dec 30, 2021	I join MTI Technology Vietnam (AI Lab) 💡 as Data Scientist to work on a research-oriented project, namely AI-Robotics Platform for Remote Point-of-care 🏥🤖.
Nov 09, 2020	I join Vingroup Big Data Institute 🏢🔬 to work as Research Intern on the project Learning from multiple annotators 🧑‍🔬📝🤝.
Sep 01, 2019	I join CB/I Digital Inc. 💼🤖 as Machine Learning Engineer for the Automated Campaign Management project 🚀📈. My role involves designing and implementing ML systems to optimize clients’ digital marketing campaigns 🎯💡.