3 papers
cs.LG2025
Innovative tokenisation of structured data for LLM training
Kayvan Karim, Hani Ragab Hassen. Hadj Batatia
Data representation remains a fundamental challenge in machine learning, particularly when adapting sequence-based architectures like Transformers and Large Language Models (LLMs)…
cs.CR2024
ActDroid: An active learning framework for Android malware detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
The growing popularity of Android requires malware detection systems that can keep up with the pace of new software being released. According to a recent study, a new piece of malw…
cs.CR2023
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract a…