collaborators

16 papers

cs.AI2026

Academic League of Artificial Intelligence - An Integrative Perspective of Teaching, Research, and Extension

Alison R. Panisson, Maria Eduarda W. M. Vianna, Italo Firmino da Silva +9

Academic leagues have become important mechanisms for promoting extracurricular education and strengthening the integration between universities and society. This paper presents th…

cs.CR2026

Cross-Corpus Evaluation of Generalizable Vulnerability Detection in IoT Firmware

Sadib Hassan Rumman, Md. Shariful Islam, Md. Rayhanur Rahman +1

IoT firmware vulnerability detection is constrained by ecosystem heterogeneity, resource-limited platforms, and benchmark quality limitations. Existing datasets are often synthetic…

cs.LO2026

Can Open-Weight LLMs Produce Kernel-Verified Coq Proofs? A Pilot Study

Ahmed Ryan, Md Erfan, Akond Ashfaque Ur Rahman +1

Large language models (LLMs) can generate text that resembles a mathematical proof, but resemblance does not establish correctness. A formal proof checker verifies whether each pro…

cs.SE2026

A Large-Scale Measurement of AI Bill of Materials Completeness in Hugging Face Models

Md Erfan, Ahmed Ryan, Md Rayhanur Rahman

Pretrained machine learning (ML) models help developers build ML-intensive software systems without training models from scratch. However, model repositories often provide incomple…

cs.CR2026

Evaluating Open-Weight LLMs for Generating Structured Threat Information for Autonomous Vehicle Vulnerabilities

Md Erfan, Ahmed Ryan, Md Kamal Hossain Chowdhury +1

Connected and Autonomous Vehicles (CAVs) rely on interconnected software and hardware components, including sensors, Electronic Control Units, in-vehicle infotainment systems, and…

cs.CR2026

An Evaluation of Large Language Models for Detection of Malicious Python Packages

Ahmed Ryan, Ibrahim Khalil, Abdullah Al Jahid +4

Modern software development relies on open-source package repositories. Attackers use these to distribute malicious packages. Large Language Models (LLMs) can automatically detect…