2 citations · 2 across the 3 of their papers we have counts for
3 papers
An Efficient Gradient-Based Inference Attack for Federated Learning
Pablo Montaña-Fernández, Ines Ortega-Fernandez
Federated Learning is a machine learning setting that reduces direct data exposure, improving the privacy guarantees of machine learning models. Yet, the exchange of model updates…
Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
Jose Fuentes, Ines Ortega-Fernandez, Nora M. Villanueva +1
User and Entity Behaviour Analytics (UEBA) is a broad branch of data analytics that attempts to build a normal behavioural profile in order to detect anomalous events. Among the te…
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Ines Ortega-Fernandez, Marta Sestelo
Nowadays, Neural Networks are considered one of the most effective methods for various tasks such as anomaly detection, computer-aided disease detection, or natural language proces…