4 citations · 4 across the 6 of their papers we have counts for
5 papers · 1 filter
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code
Shahriyar Zaman Ridoy, Md. Shazzad Hossain Shaon, Alfredo Cuzzocrea +1
Automated detection of software vulnerabilities is critical for enhancing security, yet existing methods often struggle with the complexity and diversity of modern codebases. In th…
Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
Md Abdur Rahman, Fan Wu, Alfredo Cuzzocrea +1
Large language models (LLMs) are becoming a popular tool as they have significantly advanced in their capability to tackle a wide range of language-based tasks. However, LLMs appli…
Embedding with Large Language Models for Classification of HIPAA Safeguard Compliance Rules
Md Abdur Rahman, Md Abdul Barek, ABM Kamrul Islam Riad +7
Although software developers of mHealth apps are responsible for protecting patient data and adhering to strict privacy and security requirements, many of them lack awareness of HI…
A Database Engineered System for Big Data Analytics on Tornado Climatology
Fengfan Bian, Carson K. Leung, Piers Grenier +3
Recognizing the challenges with current tornado warning systems, we investigate alternative approaches. In particular, we present a database engi-neered system that integrates info…
Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection
Md Abdur Rahman, Hossain Shahriar, Fan Wu +1
Large language models (LLMs) are renowned for their exceptional capabilities, and applying to a wide range of applications. However, this widespread use brings significant vulnerab…