Publications

12 papers

Biometric Verification (1)

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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Cybersecurity/Digital Forensics (2)

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

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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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Deepfake Detection (6)

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

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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

Under Review at Euro S&P Workshop 2026 · 2026 workshop

deepfake detectiondigital forensicdigital media authenticityempirical evaluationsurvey

arXiv Code

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

Under review at Springer AI Review · 2026 journal

passive deepfake detectiongeneralizationrobustnessempirical evaluationcross-modality analysissurvey

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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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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

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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

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Federated Learning (3)

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

PDF Code

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

PDF arXiv Code

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

PDF Code

Unlearning (1)

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

PDF arXiv Code

Publications

Biometric Verification (1)

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

Cybersecurity/Digital Forensics (2)

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

Improving Security in Internet of Medical Things through Hierarchical Cyberattacks Classification

Deepfake Detection (6)

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

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

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

A survey on proactive deepfake defense: Disruption and watermarking

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

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

Federated Learning (3)

Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models

ToFU: Transforming How Federated Learning Systems Forget User Data

Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning

Unlearning (1)

ToFU: Transforming How Federated Learning Systems Forget User Data

2026 (3)

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

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

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

2025 (6)

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

A survey on proactive deepfake defense: Disruption and watermarking

Revisiting Sparse Mixture of Experts for Resource-adaptive Federated Fine-tuning Foundation Models

ToFU: Transforming How Federated Learning Systems Forget User Data

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

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

2024 (3)

Improving Security in Internet of Medical Things through Hierarchical Cyberattacks Classification

Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning

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