5 papers
Soft Learning
Mohammed Aledhari, Ali Aledhari, Fatimah Aledhari +1
Modern machine learning forces practitioners to choose between powerful but expensive deep networks and fast but limited classical algorithms. Here we introduce Soft Learning, a fr…
Response drift across frontier large language models
Mohammed Aledhari, Ali Aledhari, Fatimah Aledhari +2
All frontier large language models (LLMs) exhibit response drift -- producing outputs that deviate from expert-validated references -- yet the magnitude and structure of this drift…
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
Paul Badu Yakubu, Lesther Santana, Mohamed Rahouti +3
With the increasing frequency and sophistication of Distributed Denial of Service (DDoS) attacks, it has become critical to develop more efficient and interpretable detection metho…
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses
Mohammed Aledhari, Rehma Razzak, Mohamed Rahouti +6
The advancements in autonomous driving technology, coupled with the growing interest from automotive manufacturers and tech companies, suggest a rising adoption of Connected Autono…
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
Mohammed Aledhari, Mohamed Rahouti, Ali Alfatemi
Autism Spectrum Disorder (ASD) is often underdiagnosed in females due to gender-specific symptom differences overlooked by conventional diagnostics. This study evaluates machine le…