1 citations · 1 across the 6 of their papers we have counts for
6 papers
Cost-Aware Hierarchical Multi-Agent Ransomware Detection and Family Attribution under Analysis Budgets
Mubashar Iqbal, Asifullah Khan, Hifsa Asif +2
Sandbox execution and memory forensics are among the most constrained resources in malware triage. Static analysis can scale to millions of files, whereas dynamic and memory analys…
A Channel-Boosted Multi-Agent System with Iterative Consultation for Document Sensitivity Classification
Aleesha Zainab, Asifullah Khan, Muhammad Ahmed Khalid +1
Organizations in critical national infrastructure sectors must assess heterogeneous documents for sensitivity before routing or storage. Manual assessment is slow, inconsistent, an…
Benchmarking Classical and Transformer-Based Models for Document Sensitivity Classification
Aleesha Zainab, Muhammad Ahmed Khalid, Faheem Ullah Khan +1
Automatic sensitivity classification of organizational documents is a critical yet underserved problem, where the consequences of misclassification range from regulatory violations…
Multimodal Multi-Agent Ransomware Analysis Using AutoGen
Asifullah Khan, Aimen Wadood, Mubashar Iqbal +1
Ransomware has become one of the most serious cybersecurity threats causing major financial losses and operational disruptions worldwide.Traditional detection methods such as stati…
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention
Syed Haider Ali, Asrar Ahmad, Muhammad Ali +2
Cancer is an abnormal growth with potential to invade locally and metastasize to distant organs. Accurate auto-segmentation of the tumor and surrounding normal tissues is required…
Advances in LLMs with Focus on Reasoning, Adaptability, Efficiency and Ethics
Asifullah Khan, Muhammad Zaeem Khan, Aleesha Zainab +5
This survey paper outlines the key developments in the field of Large Language Models (LLMs), including enhancements to their reasoning skills, adaptability to various tasks, incre…