Attribution-based interpretable classification neural network with global and local perspectives
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06218-z
Abstract: Neural networks are challenging to apply in domains requiring high reliability due to their black-box nature, and researchers are increasingly focusing on interpreting neural networks. While pursuing neural network performance, most methods often sacrifice interpretability… read more here.
Keywords: classification; attribution based; neural network; interpretable classification ... See more keywords
MetaCluster: A Universal Interpretable Classification Framework for Cybersecurity
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3372808
Abstract: Rising cyber threats have created an immediate demand for Deep Learning (DL) in cybersecurity. Nevertheless, the opaque nature of DL models poses challenges in deploying, collaborating, and assessing their effectiveness in less reliable cybersecurity environments.… read more here.
Keywords: classification; metacluster; interpretable classification; classification framework ... See more keywords