5 papers
Influence Factors on RAG Poisoning
Pedro Pereira, Eva Maia, Isabel Praça +1
Retrieval-Augmented Generation (RAG) systems enhance large language models by grounding responses in retrieved documents from external knowledge sources at inference time. However,…
Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption
Ivan Costa, Pedro Correia, Ivone Amorim +2
Federated Learning (FL) enables collaborative training while keeping sensitive data on clients' devices, but local model updates can still leak private information. Hybrid Homomorp…
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…
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…
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…