UCD ASEADOS Lab – AI Solution for Cyber Security, Digital Forensics and Smart Systems

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

Posted on December 2, 2025 by

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

Posted on November 10, 2025 by

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

Posted on October 15, 2025 by

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

Posted on October 1, 2025 by

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

Posted on November 10, 2025 by

🏆 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...

Dat-Thinh has a paper entitled “Stabilizing Data-Free Model Extraction” accepted for presentation at the 28th European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Oct. 2025

Posted on August 6, 2025 by

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

Congratulations to Duc-Anh, who ranked 4th in the Una Europa Epilepsy Data Challenge!

Posted on June 27, 2025 by

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

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

Posted on June 7, 2025 by

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

Posted on May 10, 2025 by

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...

Congratulations to Quang-Tien and Hong-Hanh, who just passed the STA assessment!

Posted on April 20, 2025 by

Well-done, guys! and welcome to the PhD Stage 2! You're now official PhD candidates. We also take this opportunity to thank the STA assessment panel who gave very positive feedback and constructive comments to Quang-Tien and Hong-Hanh.