56 citations · 256 across the 29 of their papers we have counts for
Showing 2023 · cs.CRShow all
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cs.CR2023★ 41 cited
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection
João Vitorino, Isabel Praça, Eva Maia
Machine Learning (ML) can be incredibly valuable to automate anomaly detection and cyber-attack classification, improving the way that Network Intrusion Detection (NID) is performe…
cs.CR2023
Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference
Ivone Amorim, Eva Maia, Pedro Barbosa +1
The use of Neural Networks (NNs) for sensitive data processing is becoming increasingly popular, raising concerns about data privacy and security. Homomorphic Encryption (HE) has t…
cs.CR2023★ 48 cited
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification
João Vitorino, Isabel Praça, Eva Maia
The Internet of Things (IoT) faces tremendous security challenges. Machine learning models can be used to tackle the growing number of cyber-attack variations targeting IoT systems…