Hong-Hanh is currently on the ground at the 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26) at the Singapore EXPO!This week (Jan 20–27), Hong-Hanh is representing the lab, sharing our research on "Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection" and connecting with the international AI community. 

We are thrilled to announce that our lab’s latest paper, Concept drift detection in image data stream: a survey on current literature, limitations and future directions”, has been published in the Springer Artificial Intelligence Review (IF: 14.9, Q1). Congratulate Quang-Tien! Well-done! This paper presents the first comprehensive review of concept drift detection methods tailored for image...

We are delighted to announce that Hong-Hanh has been awarded a competitive grant from the ENFIELD project (funded by Horizon Europe) to advance the state-of-the-art in voice security. The proposal, titled "Generalization of Deepfake Voice Detection across Generator Architectures," has secured €24,000 in funding to address critical challenges in biometric security. Project Overview. As...

We are thrilled to announce that our lab’s latest paper, “Evaluating the Robustness of DL-Based AAD in SDN-IoT Networks Against OOD Data and Poisoning Attacks Using Autoencoders,” has been accepted for publication in the Springer Journal of Network and Systems Management (Special Issue: Cyber-Security in Software-defined and Virtualized Infrastructures). Congratulate Tharindu! This work...

We are thrilled to announce that our lab's latest paper, "A Survey on Proactive Deepfake Defense: Disruption and Watermarking," has been accepted for publication in the prestigious journal ACM Computing Surveys (CSUR). Our Focus: Proactive Defense Our survey provides a comprehensive review of proactive defense mechanisms. These strategies are designed to prevent the generation of malicious...

Paper titled, "SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks," has been officially published in the Journal of Information Security and Applications (JISA - Elsevier | Impact Factor: 3.7 | Q1). Authors - Tharindu Lakshan Yasarathna and Dr. Nhien An Le Khac. More For more details about our work, please...

The latest research paper, “Deep Learning Based Autonomous Anomaly Detection for Security in SDN-IoT Networks”, has been published in the IEEE Open Journal of the Communications Society (Impact Factor: 6.1, Q1). Authors - Tharindu Lakshan Yasarathna, Dr.Madhusanka Liyanage, and Dr.Nhien An Le Khac.For more details about our work, please visit this link.

🏆 FVNWL Team Takes Two Prizes at the European Statistics Awards! 🏆 Hong-Hanh, Quang-Tien, and the team FVNWL, have achieved outstanding results in the European Statistics Awards for the Web Intelligence Classification Challenge! They proudly secured: 2nd Place in the Accuracy Award (€5,000) 3rd Place in the Innovativity Award (€1,000) The Challenge: Making Sense of Job Ads The core...

Well-done Dat-Thinh! The European Conference on Artificial Intelligence (ECAI) is the leading conference in the field of Artificial Intelligence in Europe.

Well done Duc-Anh! This Una Europa Epilepsy Data Challenge is co-funded by the EU Commission with 408 submission. More details from https://www.una-europa.eu/calendar/una-europa-epilepsy-data-challenge