1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2025
Leveraging VAE-Derived Latent Spaces for Enhanced Malware Detection with Machine Learning Classifiers
Bamidele Ajayi, Basel Barakat, Ken McGarry
This paper assesses the performance of five machine learning classifiers: Decision Tree, Naive Bayes, LightGBM, Logistic Regression, and Random Forest using latent representations…
cs.CL2024
Empirical Evaluation of Public HateSpeech Datasets
Sadar Jaf, Basel Barakat
Despite the extensive communication benefits offered by social media platforms, numerous challenges must be addressed to ensure user safety. One of the most significant risks faced…
cs.LG2023★ 1 cited
Improving Reliability of Fine-tuning with Block-wise Optimisation
Basel Barakat, Qiang Huang
Finetuning can be used to tackle domain-specific tasks by transferring knowledge. Previous studies on finetuning focused on adapting only the weights of a task-specific classifier…