26 citations · 50 across the 4 of their papers we have counts for
5 papers
Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models
Abrar Alotaibi, Moataz Ahmed
Adversarial evaluation of AI systems has matured along four largely disconnected tracks: diffusion-based attacks on text and large language models (LLMs), diffusion-based attacks o…
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh +5
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leadi…
Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis
Abrar Alotaibi, Moataz Ahmed
Neural Architecture Search (NAS) has emerged as a pivotal technique in optimizing the design of Generative Adversarial Networks (GANs), automating the search for effective architec…
Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model
Abrar Alotaibi, Atta-ur Rahman, Raheel Alhaza +6
Saudi Telecom Company (STC) is among the most popular companies in Saudi Arabia, with many customers. Yet, there is still a big room for improvement in users' satisfaction. Social…
A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation
Abrar Alotaibi, Raed Mughus, Moataz Ahmed
Large language models (LLMs) have demonstrated remarkable performance across natural language processing tasks, yet their deployment in high-stakes applications raises critical con…