4 citations · 24 across the 29 of their papers we have counts for
30 papers
Need or Reputation? Region, National Income, and Academic Status in LLM Gatekeeping Decisions
Nouar AlDahoul, Hezerul Abdul Karim, Myles Joshua Toledo Tan
Equitable access to scientific knowledge often depends on informal gatekeeping decisions, particularly when resources such as paywalled articles, nonpublic datasets, or a researche…
Fine-tuned Vision Language Model for Localization of Parasitic Eggs in Microscopic Images
Chan Hao Sien, Hezerul Abdul Karim, Nouar AlDahoul
Soil-transmitted helminth (STH) infections continuously affect a large proportion of the global population, particularly in tropical and sub-tropical regions, where access to speci…
Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs
Waleed Khan Mohammed, Zahirul Arief Irfan Bin Shahrul Anuar, Mousa Sufian Mousa Mitani +2
Advanced Persistent Threats (APTs) are among the most challenging cyberattacks to detect. They are carried out by highly skilled attackers who carefully study their targets and ope…
Schadenfreude in the Digital Public Sphere: A Cross-National, Decade-Long Analysis of Facebook News Engagement
Nouar Aldahoul, Hazem Ibrahim, Majd Mahmutoglu +4
Pleasure at the misfortune of others, or schadenfreude, is widely believed to have become a routine feature of online news audiences, yet its prevalence and social patterning have…
Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models
Nouar AlDahoul, Aznul Qalid Md Sabri, Ali Mohammed Mansoor
Human detection in videos plays an important role in various real-life applications. Most traditional approaches depend on utilizing handcrafted features, which are problem-depende…
Enhancing Password Security Through a High-Accuracy Scoring Framework Using Random Forests
Muhammed El Mustaqeem Mazelan, Noor Hazlina Abdul, Nouar AlDahoul
Password security plays a crucial role in cybersecurity, yet traditional password strength meters, which rely on static rules like character-type requirements, often fail. Such met…
An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
Noor Hazlina Abdul Mutalib, Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab +2
Intrusion Detection Systems (IDS) play a vital role in modern cybersecurity frameworks by providing a primary defense mechanism against sophisticated threat actors. In this paper,…
Toward a Safer Web: Multilingual Multi-Agent LLMs for Mitigating Adversarial Misinformation Attacks
Nouar Aldahoul, Yasir Zaki
The rapid spread of misinformation on digital platforms threatens public discourse, emotional stability, and decision-making. While prior work has explored various adversarial atta…
Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes
Farhan Kamrul Khan, Hazem Ibrahim, Nouar Aldahoul +2
The rapid adoption of generative AI tools is reshaping how scholars produce and communicate knowledge, raising questions about who benefits and who is left behind. We analyze over…
Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models
Nouar AlDahoul, Yasir Zaki
The rise of social media and online communication platforms has led to the spread of Arabic textual posts and memes as a key form of digital expression. While these contents can be…
Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
Nouar AlDahoul, Yasir Zaki
Recent progress in large language models (LLMs) has showcased impressive proficiency in numerous Arabic natural language processing (NLP) applications. Nevertheless, their effectiv…
Benchmarking the Legal Reasoning of LLMs in Arabic Islamic Inheritance Cases
Nouar AlDahoul, Yasir Zaki
Islamic inheritance domain holds significant importance for Muslims to ensure fair distribution of shares between heirs. Manual calculation of shares under numerous scenarios is co…
Empowering the Grid: Collaborative Edge Artificial Intelligence for Decentralized Energy Systems
Eddie de Paula, Niel Bunda, Hezerul Abdul Karim +2
This paper examines how decentralized energy systems can be enhanced using collaborative Edge Artificial Intelligence. Decentralized grids use local renewable sources to reduce tra…
The Political Ideology of Large Language Models: Measurement, Inconsistency, and Persuasive Influence
Nouar Aldahoul, Hazem Ibrahim, Aaron R. Kaufman +2
Large Language Models (LLMs) are a transformational technology, fundamentally changing how people obtain information and interact with the world. As people become increasingly reli…
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles
Chen Wei Kuo, Kevin Chu, Nouar AlDahoul +3
Bias in news reporting significantly impacts public perception, particularly regarding crime, politics, and societal issues. Traditional bias detection methods, predominantly relia…
PixLift: Accelerating Web Browsing via AI Upscaling
Yonas Atinafu, Sarthak Malla, HyunSeok Daniel Jang +3
Accessing the internet in regions with expensive data plans and limited connectivity poses significant challenges, restricting information access and economic growth. Images, as a…
A Conceptual Exploration of Generative AI-Induced Cognitive Dissonance and its Emergence in University-Level Academic Writing
Carl Errol Seran, Myles Joshua Toledo Tan, Hezerul Abdul Karim +1
The integration of Generative Artificial Intelligence (GenAI) into university-level academic writing presents both opportunities and challenges, particularly in relation to cogniti…
TikTok's recommendations skewed towards Republican content during the 2024 U.S. presidential race
Hazem Ibrahim, HyunSeok Daniel Jang, Nouar Aldahoul +3
TikTok is a major force among social media platforms with over a billion monthly active users worldwide and 170 million in the United States. The platform's status as a key news so…
Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemma
Nouar AlDahoul, Myles Joshua Toledo Tan, Raghava Reddy Tera +4
License plate recognition (LPR) involves automated systems that utilize cameras and computer vision to read vehicle license plates. Such plates collected through LPR can then be co…
Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos
Nouar AlDahoul, Myles Joshua Toledo Tan, Harishwar Reddy Kasireddy +1
The widespread dissemination of hate speech, harassment, harmful and sexual content, and violence across websites and media platforms presents substantial challenges and provokes w…
Can Personalized Medicine Coexist with Health Equity? Examining the Cost Barrier and Ethical Implications
Kishi Kobe Yee Francisco, Andrane Estelle Carnicer Apuhin, Myles Joshua Toledo Tan +4
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs an…
Exploring Vision Language Models for Facial Attribute Recognition: Emotion, Race, Gender, and Age
Nouar AlDahoul, Myles Joshua Toledo Tan, Harishwar Reddy Kasireddy +1
Technologies for recognizing facial attributes like race, gender, age, and emotion have several applications, such as surveillance, advertising content, sentiment analysis, and the…
A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles
Hazem Ibrahim, Nouar AlDahoul, Syed Mustafa Ali Abbasi +3
The manner in which different racial and gender groups are portrayed in news coverage plays a large role in shaping public opinion. As such, understanding how such groups are portr…
Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuning
Essa Jan, Nouar AlDahoul, Moiz Ali +3
Recent breakthroughs in Large Language Models (LLMs) have led to their adoption across a wide range of tasks, ranging from code generation to machine translation and sentiment anal…