most citedExplainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

26 citations · 51 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Structured Stateful Relational Scripts with a High-Quality Dataset for Multi-Shot Audio-Visual Video Generation

Chen Zhao, Lehan Shen, Qilong Huang +5

Coherent multi-shot audio-visual video generation requires maintaining consistent identities while depicting evolving states and coordinating sounds across shot boundaries. Althoug…

cs.CR2026

Layered LLM Defenses as an Ensemble: Access Tiers, Inference Cost, and the Measured Failure Correlation Between Defense Layers

Abrar Alotaibi, Muhammad Shahid Jabbar, Sadam Al-Azani +1

Practitioners defend large language models (LLMs) by stacking defenses, assuming the layers compound. A stack is an ensemble, and ensembles compound only under a condition the LLM…

cs.CL2026

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…

cs.CR2026

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…

cs.AI2026★ 26 cited

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…

cs.LG2026★ 7 cited

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…

cs.CL2026★ 18 cited

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…