A survey on deep learning for cybersecurity: Progress, challenges, and opportunities

M Macas, C Wu, W Fuertes - Computer Networks, 2022 - Elsevier
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

iDP-FL: A Fine-Grained and Privacy-Aware Federated Learning Framework for Deep Neural Networks

J Zhang, H Zhu, F Wang, Y Zheng, Z Liu, H Li - Information Sciences, 2024 - Elsevier
Federated learning (FL), as a distributed machine learning paradigm, essentially promises
that multiple parties can jointly train the model collaboratively without sharing local data …