6 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…
A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects
Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick +5
In today's digital era, the Internet, especially social media platforms, plays a significant role in shaping public opinions, attitudes, and beliefs. Unfortunately, the credibility…
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…
Seq2Seq Model-Based Chatbot with LSTM and Attention Mechanism for Enhanced User Interaction
Lamya Benaddi, Charaf Ouaddi, Adnane Souha +5
A chatbot is an intelligent software application that automates conversations and engages users in natural language through messaging platforms. Leveraging artificial intelligence…