Publications

A full list of my publications is available on my Google Scholar profile.

* indicates equal contribution

Published Papers

• Simulation Based Bayesian Optimization (2025). Naveiro, R.* & Tang, Becky. Statistics and Computing.

• Evasion Attacks Against Bayesian Predictive Models (2025). García-Arce, P.*, Naveiro, R.*, & Ríos Insua, D.* Uncertainty in Artificial Intelligence.

• Poisoning Bayesian Inference via Data Deletion and Replication (2025). Carreau, M.*, Naveiro, R.*, & Caballero, W. N. International Conference on Artificial Intelligence and Statistics.

• Clinical outcomes after 2‐year follow‐up of transvaginal radiofrequency ablation of symptomatic uterine fibroids (2025). Santalla‐Hernández, Á., Naveiro‐Fuentes, M., López‐Criado, M. S., Naveiro, R.*, & Fernández‐Parra, J. Journal of Obstetrics and Gynaecology Research. [Link]

• Personalized pricing decisions through adversarial risk analysis (2025). García Rasines, D.*, Naveiro, R.*, Ríos Insua, D.*, & Santana Rodríguez, S.* International Transactions in Operational Research. [Link]

• Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis (2024). Popescu, M. L., …, Naveiro, R., … Diabetes & Metabolic Syndrome: Clinical Research & Reviews. [Link]

• Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic (2024). Naveiro, R.*, Caballero, W. N.* & Ríos Insua, D.* International Conference on Algorithmic Decision Theory. Cham: Springer Nature Switzerland. [Link]

• Algorithmic Decision Analysis for Multi-stage Games with Incomplete Information (2024). Camacho, J. M.*, Naveiro, R.* & Ríos Insua, D. International Conference on Algorithmic Decision Theory. Cham: Springer Nature Switzerland. [Link]

• Protecting Classifiers from Attacks (2024). Gallego, V.*, Naveiro, R.*, Ríos Insua, D.*, & Ruggeri, F. Statistical Science. [Link]

• Manipulating hidden-Markov-model inferences by corrupting batch data (2024). Caballero, W.*, Camacho, J. M.*, Ekin, T., & Naveiro, R.* Computers & Operations Research. [Link]

• Adversarial Machine Learning: Bayesian Perspectives (2023). Ríos Insua, D.*, Naveiro, R.*, Gallego, V.*, & Poulos, J. Journal of the American Statistical Association. [Link]

• Augmented Probability Simulation Methods for Sequential Games (2023). Ekin, T., Naveiro, R.*, Insua, D. R.*, & Torres-Barrán, A.* European Journal of Operational Research. [Link] FBBVA-SEIO Best Paper Award: Methodological contribution in Operational Research.

• Design of new dispersants using machine learning and visual analytics (2023). Jimena, M.*, Naveiro, R.* et. al. Polymers. [Link]

• Deep learning for novel drug development (2023). Naveiro, R.*, Martínez, M. J., Soto, A., Ponzoni, I., Ríos Insua, D. & Campillo, N. E. Cheminformatics, QSAR and Machine Learning applications for Novel Drug Development. Elsevier (To appear).

• Statistical Challenges in Automated Driving Systems (2023). Caballero, W.*, Naveiro, R.*, & Ríos Insua, D.* Applied Stochastic Models in Business and Industry. [Link]

• Augmented probability simulation for adversarial risk analysis in general security games (2022). Naveiro, R., Insua, D. R., & Camacho, J. M. Defense and Homeland Security Simulation Workshop (I3M). [Link] Best Paper Award.

• Evaluation of female sexual health in routine gynaecological practice (2022). Fuentes, M. N., Villena, R. B., Naveiro, R., Sánchez, M. H., Roca, L. C., & Parra, J. F. Clínica e Investigación en Ginecología y Obstetricia. [Link]

• Adversarial Risk Analysis (Overview) (2022). Banks, D.*, Gallego, V.*, Naveiro, R.*, & Ríos Insua, D.* WIREs Comput Stat. [Link]

• Managing Driving Modes in Automated Driving Systems (2022). Ríos Insua, D.*, Caballero, W.*, & Naveiro, R.* Transportation Science. [Link]

• Modeling Ethical and Operational Preferences in Automated Driving Systems (2022). Caballero, W.*, Naveiro, R.* & Ríos Insua, D.* Decision Analysis. [Link] Finalist of the 2022 Clemen–Kleinmuntz Decision Analysis Best Paper Award.

• Towards Acceptance of Automated Driving Systems (2021). Jamson, S. L., Risvas, K., Naveiro, R., et. al. 5th Int. Conf. on Computer-Human Interaction Research and Applications (CHIRA 2021). [Link]

• Challenge 8: Smart Cybersecurity (2021). Arroyo Guardeño, D., Brox Jiménez, P., Godoy, J. A., Villagra, J., Mueller, H., Gallego, V., Kosgodagan, A., Naveiro, R., et. al. White Papers. CSIC Scientific Challenges: Towards 2030, vol. 11.

• Adversarial attacks against Bayesian forecasting dynamic models (2021). Naveiro, R.* 22nd European Young Statisticians Meetings (EYSM 2021). [Link]

• AI in drug development: a multidisciplinary perspective (2021). Gallego, V.*, Naveiro, R.*, Roca, C. et al. Molecular Diversity. [Link]

• Perspectives on Adversarial Classification (2020). Ríos Insua, D.*, Naveiro, R.*, & Gallego, V.* Mathematics. [Link]

• Hydroxicloroquine for pre-exposure prophylaxis for SARS-CoV-2 (2020). Lopez de la Iglesia, J., Cubelos, N., Naveiro, R., et. al. Current Trends in Medicine. [Link]

• Adversarial Classification: An adversarial Risk Analysis approach (2019). Naveiro, R.*, Redondo, A., Insua, D. R., & Ruggeri, F. International Journal of Approximate Reasoning. [Link]

• Large Scale Automated Forecasting for Monitoring Network Safety and Security (2019). Naveiro, R.*, Rodríguez, S., & Ríos Insua, D. Applied Stochastic Models in Business and Industry. [Link]

• Gradient Methods for Solving Stackelberg Games (2019). Naveiro, R.*, & Ríos Insua, D. Algorithmic Decision Theory (Lecture Notes in Computer Science). Springer, Cham.

• Reinforcement Learning under Threats (2019). Gallego, V., Naveiro, R., & Ríos Insua, D. Proceedings of the AAAI Conference on Artificial Intelligence. [Link]

Published Books

• Bayesian Adversarial Machine Learning (2026). Naveiro R.* & Ríos Insua D.* Taylor & Francis. (Forthcoming).

• ¿Qué sabemos de Análisis de Riesgos? (2022). Ríos Insua D.* & Naveiro R.*. CSIC-La Catarata. ISBN: 978-84-1352-458-0.

Preprints

• A unified Bayesian framework for adversarial robustness (2025). G. Arce, Pablo*, Naveiro, R.* & Ríos Insua, D. arXiv preprint arXiv:2510.09288.

• Computational adversarial risk analysis for general security games (2025). Camacho, J.M., Naveiro, R. & Ríos Insua, D. arXiv preprint arXiv:2506.02603.

• Data Sharing Games (2020). Gallego, V.*, Naveiro, R.*, Ríos Insua, D.*, & Rozas W. arXiv preprint arXiv:2101.10721.

• Opponent Aware Reinforcement Learning (2019). Gallego, V., Naveiro, R., & Ríos Insua, D. arXiv preprint arXiv:1809.01560.