118 citations · 868 across the 84 of their papers we have counts for
93 papers
ChaRVoC: A Challenge-Response Voice Cancelable Authentication System
Phuc-Khang Vo-Hoang, Hoang C. Ta, Nhien-An Le-Khac +2
In this work, we present a Challenge-Response Voice Cancelable authentication system, called ChaRVoC, which provides protection against replay attacks, revocability issues, and tem…
AFSS: Artifact-Focused Self-Synthesis for Mitigating Bias in Audio Deepfake Detection
Hai-Son Nguyen-Le, Hung-Cuong Nguyen-Thanh, Nhien-An Le-Khac +2
The rapid advancement of generative models has enabled highly realistic audio deepfakes, yet current detectors suffer from a critical bias problem, leading to poor generalization a…
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 +1
The proliferation of deepfake imagery poses escalating challenges for practitioners tasked with verifying digital media authenticity. While detection algorithm research is abundant…
Transferable Multi-Bit Watermarking Across Frozen Diffusion Models via Latent Consistency Bridges
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Thuc D. Nguyen +1
As generative AI advances, global governance frameworks increasingly mandate verifiable content provenance. However, existing watermarking techniques face a critical policy-to-tech…
Align and Adapt: Multimodal Multiview Human Activity Recognition under Arbitrary View Combinations
Duc-Anh Nguyen, Nhien-An Le-Khac
Multimodal multiview learning seeks to integrate information from diverse sources to enhance task performance. Existing approaches often struggle with flexible view configurations,…
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
Digital forensics faces unprecedented challenges with the emergence of digital twins and metaverse technologies. This paper presents the first comparative analysis between blockcha…
Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen +1
The rapid advancement of generators (e.g., StyleGAN, Midjourney, DALL-E) has produced highly realistic synthetic images, posing significant challenges to digital media authenticity…
SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks
Tharindu Lakshan Yasarathna, Nhien-An Le-Khac
Integrating SDN and the IoT enhances network control and flexibility. DL-based AAD systems improve security by enabling real-time threat detection in SDN-IoT networks. However, the…
Stabilizing Data-Free Model Extraction
Dat-Thinh Nguyen, Kim-Hung Le, Nhien-An Le-Khac
Model extraction is a severe threat to Machine Learning-as-a-Service systems, especially through data-free approaches, where dishonest users can replicate the functionality of a bl…
Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen +1
Deepfake (DF) detectors face significant challenges when deployed in real-world environments, particularly when encountering test samples deviated from training data through either…
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen +1
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as individual impersonation, misinformation spreading, and artists style imitation, raising questio…
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Dinh-Thuc Nguyen +1
The advancements in generative AI have enabled the improvement of audio synthesis models, including text-to-speech and voice conversion. This raises concerns about its potential mi…
SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
Duc-Anh Nguyen, Nhien-An Le-Khac
Human Activity Recognition (HAR) is a well-studied field with research dating back to the 1980s. Over time, HAR technologies have evolved significantly from manual feature extracti…
Ensuring Cross-Device Portability of Electromagnetic Side-Channel Analysis
Lojenaa Navanesana, Nhien-An Le-Khac, Mark Scanlon +2
Investigation on smart devices has become an essential subdomain in digital forensics. The inherent diversity and complexity of smart devices pose a challenge to the extraction of…
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
Duc-Anh Nguyen, Cuong Pham, Nhien-An Le-Khac
Various types of sensors can be used for Human Activity Recognition (HAR), and each of them has different strengths and weaknesses. Sometimes a single sensor cannot fully observe t…
Enhancing Illicit Activity Detection using XAI: A Multimodal Graph-LLM Framework
Jack Nicholls, Aditya Kuppa, Nhien-An Le-Khac
Financial cybercrime prevention is an increasing issue with many organisations and governments. As deep learning models have progressed to identify illicit activity on various fina…
Crossed-IoT device portability of Electromagnetic Side Channel Analysis: Challenges and Dataset
Tharindu Lakshan Yasarathna, Lojenaa Navanesan, Simon Barque +2
IoT (Internet of Things) refers to the network of interconnected physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, ena…
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture
Quoc Hung Ngo, Tahar Kechadi, Nhien-An Le-Khac
Recent machine learning approaches have been effective in Artificial Intelligence (AI) applications. They produce robust results with a high level of accuracy. However, most of the…
Knowledge Representation in Digital Agriculture: A Step Towards Standardised Model
Quoc Hung Ngo, Tahar Kechadi, Nhien-An Le-Khac
In recent years, data science has evolved significantly. Data analysis and mining processes become routines in all sectors of the economy where datasets are available. Vast data re…
Learn to Adapt: Robust Drift Detection in Security Domain
Aditya Kuppa, Nhien-An Le-Khac
Deploying robust machine learning models has to account for concept drifts arising due to the dynamically changing and non-stationary nature of data. Addressing drifts is particula…
Forensic Artefact Discovery and Attribution from Android Cryptocurrency Wallet Applications
Eugene Chang, Paul Darcy, Kim-Kwang Raymond Choo +1
Cryptocurrency has been (ab)used to purchase illicit goods and services such as drugs, weapons and child pornography (also referred to as child sexual abuse materials), and thus mo…
Structural Textile Pattern Recognition and Processing Based on Hypergraphs
Vuong M. Ngo, Sven Helmer, Nhien-An Le-Khac +1
The humanities, like many other areas of society, are currently undergoing major changes in the wake of digital transformation. However, in order to make collection of digitised ma…
Protect Against Unintentional Insider Threats: The risk of an employee's cyber misconduct on a Social Media Site
Guerrino Mazzarolo, Juan Carlos Fernandez Casas, Anca Delia Jurcut +1
Social Media is a cyber-security risk for every business. What do people share on the Internet? Almost everything about oneself is shared: friendship, demographics, family, activit…
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation
Xiaoyu Du, Chris Hargreaves, John Sheppard +4
Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of case…