Name:Yassine Mekdad

Bio:

My research interest principally cover challenging security problems in Cyber-physical systems (CPS), with a focus on the intersection of cybersecurity and artificial intelligence. I investigate security vulnerabilities in machine learning systems, develop robust defenses against adversarial attacks, and work on sustainable security solutions for evolving threat landscapes. My work spans both theoretical foundations and practical applications. Currently, I am focusing on the following research areas:

Adversarial Machine Learning and AI Security.
Vulnerability Assessment of ML/AI Models.
Web Security and WebAssembly Security.
Malware Detection and Analysis.

Country:United States

Affiliation:Cyber-Physical Systems Security Lab, Florida International University

Research interests:Machine Learning, Deep Learning, Cybersecurity, Computer Education, AI/ML Security