How to implement EU data protection regulation for R&D on personal data. - Raul Sánchez-Reillo; Ines Ortega-Fernandez; Wendy Ponce-Hernandez; Helga C. Quiros-Sandoval (ICCST, 2017)

How to implement EU data protection regulation for R&D in biometrics. - Raul Sánchez-Reillo; Ines Ortega-Fernandez; Wendy Ponce-Hernandez; Helga C. Quiros-Sandoval (Comput. Stand. Interfaces, 2019)

Hexanonymity: a scalable geo-positioned data clustering algorithm for anonymisation purposes. - Javier Rodriguez-Viñas; Ines Ortega-Fernandez; Eva Sotos Martínez (EuroS&P Workshops, 2023)

Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting. - Jaime Loureiro-Acuña; Xavier Martínez Luaña; Héctor Padín-Torrente; Gonzalo Jiménez-Balsa; Carlos García-Pagán; Ines Ortega-Fernandez (IH&MMSec, 2024)

Explainable generalized additive neural networks with independent neural network training. - Ines Ortega-Fernandez; Marta Sestelo; Nora M. Villanueva (Stat. Comput., 2024)

Network intrusion detection system for DDoS attacks in ICS using deep autoencoders. - Ines Ortega-Fernandez; Marta Sestelo; Juan C. Burguillo; Camilo Piñón-Blanco (Wirel. Networks, 2024)

Correction to: Explainable generalized additive neural networks with independent neural network training. - Ines Ortega-Fernandez; Marta Sestelo; Nora M. Villanueva (Stat. Comput., 2024)

neuralGAM: An R Package for Fitting Generalized Additive Neural Networks. - Ines Ortega-Fernandez; Marta Sestelo (CoRR, 2025)

Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders. - Jose Fuentes; Ines Ortega-Fernandez; Nora M. Villanueva; Marta Sestelo (CoRR, 2025)