5 papers
Automating Database-Native Function Code Synthesis with LLMs
Wei Zhou, Xuanhe Zhou, Qikang He +4
Database systems incorporate an ever-growing number of functions in their kernels (a.k.a., database native functions) for scenarios like new application support and business migrat…
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…
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…
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data
Mst Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea
Social media cyberbullying has a detrimental effect on human life. As online social networking grows daily, the amount of hate speech also increases. Such terrible content can caus…