4 citations · 4 across the 5 of their papers we have counts for
6 papers
Privacy-Preserving Personalized Federated Learning (PPP-FL) for Medical Imaging
Md Morshedul Islam, Hossain Shahriar, Alfredo Cuzzocrea
Federated learning (FL) is a distributed machine learning paradigm that reduces transmission costs, mitigates cross-border data sharing restrictions, and enhances privacy by keepin…
Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems
Kyle Stein, Guillermo Francia, Eman El-Sheikh +1
The growing reliance on Low-Earth Orbit (LEO) satellite communication systems has increased the need for intelligent methods capable of detecting cyberattacks across complex and dy…
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…
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions
Mst Shapna Akter
With the ever-growing concern for internet security, the field of quantum cryptography emerges as a promising solution for enhancing the security of networking systems. In this pap…