activity
20232026
most citedRevolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices

24 citations · 24 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2026

A Binary and System Integrated Analysis Approach for Securing the QUIC Protocol

Maitha Alshaali, Wanqing Tu, Gaofei Huang +1

The Quick UDP Internet Connections (QUIC) protocol is increasingly used to provide secure transport for Internet of Things (IoT) firmware and applications. Existing security analys…

cs.CR2026

RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs

Parteek Jamwal, Minghao Shao, Boyuan Chen +15

Large Language Models (LLMs) have demonstrated remarkable capabilities across various cybersecurity tasks, including vulnerability classification, detection, and patching. However,…

cs.LG2024

MAGNETO: Edge AI for Human Activity Recognition -- Privacy and Personalization

Jingwei Zuo, George Arvanitakis, Mthandazo Ndhlovu +1

Human activity recognition (HAR) is a well-established field, significantly advanced by modern machine learning (ML) techniques. While companies have successfully integrated HAR in…

eess.SP2023

Practical Insights on Incremental Learning of New Human Physical Activity on the Edge

George Arvanitakis, Jingwei Zuo, Mthandazo Ndhlovu +1

Edge Machine Learning (Edge ML), which shifts computational intelligence from cloud-based systems to edge devices, is attracting significant interest due to its evident benefits in…

cs.CR2023★ 24 cited

Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices

Mohamed Amine Ferrag, Mthandazo Ndhlovu, Norbert Tihanyi +4

The field of Natural Language Processing (NLP) is currently undergoing a revolutionary transformation driven by the power of pre-trained Large Language Models (LLMs) based on groun…