Tharindu has a paper, “Evaluating the Robustness of DL-Based AAD in SDN-IoT Networks Against OOD Data and Poisoning Attacks Using Autoencoders”, has been published in the Springer Journal of Network and Systems Management (IF: 3.9, Q1), Dec 2025

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...

Hong-Hanh has a paper, “A Survey on Proactive Deepfake Defense: Disruption and Watermarking”, accepted to publication on ACM Computing Surveys

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...

Tharindu has a paper, “SoK: Systematic analysis of adversarial threats against deep learning approaches for autonomous anomaly detection systems in SDN-IoT networks”, accepted to publish in Elsevier Journal of Information Security and Applications (IF: 3.7, Q1), October 2025

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...

Tharindu has a paper, “Deep Learning Based Autonomous Anomaly Detection for Security in SDN-IoT Networks”, accepted to publish in IEEE Open Journal of the Communications Society (IF: 6.1, Q1), September 2025

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.

Hong-Hanh and Quang-Tien have won two awards in European Statistics Awards with a total of €6,000

🏆 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...

Hong-Hanh has a paper entitled “Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation” accepted for presentation at the 34th International Joint Conference on Artificial Intelligence (IJCAI-2025), Montreal, Canada, Aug. 2025

Many congratulations to Hong-Hanh! IJCAI is an A* conference in AI and since its founding in 1969, IJCAI has been the premier conference for the global AI community.

ASEADOS members are going to delivery two new modules: COMP41870 AI Security and COMP41880 AI Investigations for UCD MSc. Forensic Computing and Cybercrime Investigations programme

Module COMP41870 – AI Security (from 2025/2026) Module Lecturer: Dr. Aditya Kuppa What Will I learn? This “AI Security” module equips students with offensive and defensive techniques to secure AI architectures, generative models, and AI-driven applications. Spanning background fundamentals, practical labs, and policy frameworks, the course ensures graduates can identify and mitigate...