Publications

Research from GMD-AI. · 15

* Corresponding author · Co-first author

2026 (6)

UB-SMoE: Universally Balanced Sparse Mixture-of-Experts for Resource-adaptive Federated Fine-tuning of Foundation Models

Van-Tuan Tran , Hong-Hanh Nguyen-Le , Marco Ruffini , Merim Dzaferagic

Proceedings of the International Conference on Machine Learning (ICML) 2026 conference
mixture of expertsfederated fine-tuningresource-adaptivefoundation modelsLoRA

AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection

Hai-Son Nguyen-Le , Hung-Cuong Nguyen-Thanh , Nhien-An Le-Khac , Thuc D. Nguyen , Hong-Hanh Nguyen-Le *

International Joint Conference on Neural Networks (IJCNN) 2026 conference
audio deepfake detectionbias mitigationself-synthesisgeneralization

Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

Proceedings of the AAAI Conference on Artificial Intelligence 2026 conference
passive deepfake detectiongeneralizationcross-generator detectiondeep clustering

Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

Second Workshop on Technical AI Governance Research (TAIGR 2026) 2026 workshop
watermarkingdiffusion modelscontent provenanceAI governancelatent consistency models

How Effective Are Publicly Accessible Deepfake Detection Tools? A Comparative Evaluation of Open-Source and Free-to-Use Platforms

Michael Rettinger , Ben Beaumont , Nhien-An Le-Khac , Hong-Hanh Nguyen-Le *

Preprint (arXiv) 2026 preprint
deepfake detectiondigital forensicdigital media authenticityempirical evaluationsurvey

Deepfake Detection Across Image, Video, and Audio: A Comprehensive Survey with Empirical Evaluation of Generalization and Robustness

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

Springer AI Review 2026 journal
passive deepfake detectiongeneralizationrobustnessempirical evaluationcross-modality analysissurvey
PDF

2025 (6)

Blockchain-based vs. SQL Database Systems for Digital Twin Evidence Management: A Comparative Forensic Analysis

Boyd Franken , Hong-Hanh Nguyen-Le , Nhien-An Le-Khac

EAI International Conference on Digital Forensics & Cyber Crime 2025 2025 conference
digital twinsblockchainSQL databaseevidence management
PDF

A survey on proactive deepfake defense: Disruption and watermarking

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

ACM Computing Surveys 2025 journal
proactive deepfake detection disruptionwatermarkinggenerative AIsurvey
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Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models

Van-Tuan Tran , Khiem Le , Quoc-Viet Pham

ICLR 2025 Workshop on Modularity for Collaborative, Decentralized, and Continual Deep Learning 2025 workshop
Resource-adaptivemixture of expertsfederated fine-tuningfoundation models

ToFU: Transforming How Federated Learning Systems Forget User Data

Van-Tuan Tran , Hong-Hanh Nguyen-Le , Quoc-Viet Pham

28th European Conference on Artificial Intelligence (ECAI-25) 2025 conference
federated unlearninglearning-to-unlearn

Think Twice Before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence 2025 conference
passive deepfake detectiontest time adaptationnegative learning

Privacy-preserving speaker verification system using Ranking-of-Element hashing

Hong-Hanh Nguyen-Le , Lam Tran , Dinh Song An Nguyen , Nhien-An Le-Khac , Thuc D. Nguyen

Pattern Recognition 2025 journal
template protectionwinner-takes-all hasingbiometric verificationprivacy-preserving machine learning
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2024 (3)

Improving Security in Internet of Medical Things through Hierarchical Cyberattacks Classification

Vince Noort , Nhien-An Le-Khac , Hong-Hanh Nguyen-Le *

IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) 2024 conference
internet of medical thingscybersecurityhierarchical classificationclass of cyberattacks
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Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning

Van-Tuan Tran , Huy-Hieu Pham , Kok-Seng Wong

IEEE Transactions on Emerging Topics in Computing 2024 journal
cross-Silo federated learningdifferential privacygenerative adversarial networkspersonalized federated learning

D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack

Hong-Hanh Nguyen-Le , Van-Tuan Tran , Thuc D. Nguyen , Nhien-An Le-Khac

International Joint Conference on Neural Networks (IJCNN) 2024 conference
black-box attackstransferabilityimperceptible adversarial examplesdeepfake CAPTCHA