Security & Adversarial ML Federated Learning Agentic AI Systems

Abdenour Soubih is a Ph.D. student in AI Systems Engineering at Sungkyunkwan University (SKKU), South Korea. His research interests lie in large language models, agentic AI systems, multi-agent systems, and trustworthy AI.

His work is broadly motivated by the development of reliable, robust, and practical AI systems that can be deployed in real-world environments. He has prior research experience in federated learning security, privacy risks, poisoning attacks, and AI system robustness, as well as practical experience in IoT platforms and web-based intelligent systems.

Education

Sungkyunkwan University (SKKU) – M.S. in Computer Science and Engineering (Alumnus) 2024 – 2026

University of Oran1 Ahmed Ben Bella – Master’s Degree in Computer Science 2018 – 2020

UHBC University – Bachelor’s Degree in Computer Systems 2015 – 2018

Publications

Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity
Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity
Abdenour Soubih, Seyyid Ahmed Lahmer, Mohammed Abuhamad, Tamer Abuhmed
2025 19th International Conference on...  ·  03 Jan 2025  ·  doi:10.1109/imcom64595.2025.10857574

All of Abdenour Soubih's papers on the Publications page