Reinforcement Learning under Threats. - Víctor Gallego; Roi Naveiro; David Ríos Insua (AAAI, 2019)

Gradient Methods for Solving Stackelberg Games. - Roi Naveiro; David Ríos Insua (ADT, 2019)

Opponent Aware Reinforcement Learning. - Víctor Gallego; Roi Naveiro; David Ríos Insua; David Gómez-Ullate (CoRR, 2019)

Augmented Probability Simulation Methods for Non-cooperative Games. - Tahir Ekin; Roi Naveiro; Alberto Torres-Barrán; David Ríos Insua (CoRR, 2019)

Adversarial classification: An adversarial risk analysis approach. - Roi Naveiro; Alberto Redondo; David Ríos Insua; Fabrizio Ruggeri 001 (Int. J. Approx. Reason., 2019)

Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. - David Ríos Insua; Roi Naveiro; Víctor Gallego; Jason Poulos (CoRR, 2020)

Protecting Classifiers From Attacks. A Bayesian Approach. - Víctor Gallego; Roi Naveiro; Alberto Redondo; David Ríos Insua; Fabrizio Ruggeri 001 (CoRR, 2020)

Adversarial Risk Analysis (Overview). - David Banks; Víctor Gallego; Roi Naveiro; David Ríos Insua (CoRR, 2020)

Towards Acceptance of Automated Driving Systems. - Samantha L. Jamson; Konstantinos Risvas; Roi Naveiro; David Ríos Insua; Konstantinos Moustakas; Mikolaj Kruszewski; Aleksandra Rodak; Alessandro Barisone (CHIRA, 2021)

Data sharing games. - Víctor Gallego; Roi Naveiro; David Ríos Insua; Wolfram Rozas (CoRR, 2021)

Adversarial attacks against Bayesian forecasting dynamic models. - Roi Naveiro (CoRR, 2021)

Adversarial Forecasting Through Adversarial Risk Analysis Within a DDDAS Framework. - Tahir Ekin; Roi Naveiro; Jose Manuel Camacho Rodriguez (DDDAS, 2022)

Modeling Ethical and Operational Preferences in Automated Driving Systems. - William N. Caballero; Roi Naveiro; David Ríos Insua (Decis. Anal., 2022)

Managing Driving Modes in Automated Driving Systems. - David Ríos Insua; William N. Caballero; Roi Naveiro (Transp. Sci., 2022)

Augmented probability simulation methods for sequential games. - Tahir Ekin; Roi Naveiro; David Ríos Insua; Alberto Torres-Barrán (Eur. J. Oper. Res., 2023)

Algorithmic Decision Analysis for Multi-stage Games with Incomplete Information. - José Manuel Camacho; Roi Naveiro; David Ríos Insua (ADT, 2024)

Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic. - Roi Naveiro; David Ríos Insua; William N. Caballero (ADT, 2024)

Manipulating hidden-Markov-model inferences by corrupting batch data. - William N. Caballero; José Manuel Camacho; Tahir Ekin; Roi Naveiro (Comput. Oper. Res., 2024)

Poisoning Bayesian Inference via Data Deletion and Replication. - Matthieu Carreau; Roi Naveiro; William N. Caballero (AISTATS, 2025)

Evasion Attacks Against Bayesian Predictive Models. - Pablo G. Arce; Roi Naveiro; David Ríos Insua (UAI, 2025)

Computational adversarial risk analysis for general security games. - José Manuel Camacho; Roi Naveiro; David Ríos Insua (CoRR, 2025)

Personalized pricing decisions through adversarial risk analysis. - Daniel Garcia Rasines; Roi Naveiro; David Ríos Insua; Simón Rodríguez Santana (Int. Trans. Oper. Res., 2025)

Simulation based Bayesian Optimization. - Roi Naveiro; Becky Tang (Stat. Comput., 2025)