collaborators

7 papers

cs.CL2026

A Multi-Perspective Benchmark and Moderation Model for Evaluating Safety and Adversarial Robustness

Naseem Machlovi, Maryam Saleki, Ruhul Amin +5

As large language models (LLMs) become deeply embedded in daily life, the urgent need for safer moderation systems that distinguish between naive and harmful requests while upholdi…

cs.CV2025

Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review

Ufaq Khan, Umair Nawaz, Adnan Qayyum +5

Recent advancements in machine learning (ML) and deep learning (DL), particularly through the introduction of Foundation Models (FMs), have significantly enhanced surgical scene un…

cs.AI2025

Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models

Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari +3

Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human…

cs.CR2025

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…

cs.CV2025

TEMSET-24K: Densely Annotated Dataset for Indexing Multipart Endoscopic Videos using Surgical Timeline Segmentation

Muhammad Bilal, Mahmood Alam, Deepa Bapu +16

Indexing endoscopic surgical videos is vital in surgical data science, forming the basis for systematic retrospective analysis and clinical performance evaluation. Despite its sign…

cs.CR2025

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…