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cs.CR2025
Federated Learning: An approach with Hybrid Homomorphic Encryption
Pedro Correia, Ivan Silva, Ivone Amorim +2
Federated Learning (FL) is a distributed machine learning approach that promises privacy by keeping the data on the device. However, gradient reconstruction and membership-inferenc…
cs.CR2025
MeAJOR Corpus: A Multi-Source Dataset for Phishing Email Detection
Paulo Mendes, Eva Maia, Isabel Praça
Phishing emails continue to pose a significant threat to cybersecurity by exploiting human vulnerabilities through deceptive content and malicious payloads. While Machine Learning…
cs.CR2025
A Novel Approach to Network Traffic Analysis: the HERA tool
Daniela Pinto, Ivone Amorim, Eva Maia +1
Cybersecurity threats highlight the need for robust network intrusion detection systems to identify malicious behaviour. These systems rely heavily on large datasets to train machi…