Roi Naveiro

According to our database, Roi Naveiro authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Manipulating hidden-Markov-model inferences by corrupting batch data.

William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro

Comput. Oper. Res., February, 2024

Simulation Based Bayesian Optimization.

Roi Naveiro, Becky Tang

CoRR, 2024

2023

Augmented probability simulation methods for sequential games.

Tahir Ekin, Roi Naveiro, David Ríos Insua, Alberto Torres-Barrán

Eur. J. Oper. Res., 2023

2022

Managing Driving Modes in Automated Driving Systems.

David Ríos Insua, William N. Caballero, Roi Naveiro

Transp. Sci., 2022

Modeling Ethical and Operational Preferences in Automated Driving Systems.

William N. Caballero, Roi Naveiro, David Ríos Insua

Decis. Anal., 2022

Adversarial Forecasting Through Adversarial Risk Analysis Within a DDDAS Framework.

Tahir Ekin, Roi Naveiro, Jose Manuel Camacho Rodriguez

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021

Adversarial attacks against Bayesian forecasting dynamic models.

Roi Naveiro

CoRR, 2021

Data sharing games.

Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas

CoRR, 2021

Towards Acceptance of Automated Driving Systems.

Samantha L. Jamson, Konstantinos Risvas, Roi Naveiro, David Ríos Insua, Konstantinos Moustakas, Mikolaj Kruszewski, Aleksandra Rodak, Alessandro Barisone

Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications, 2021

2020

Adversarial Risk Analysis (Overview).

David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua

CoRR, 2020

Protecting Classifiers From Attacks. A Bayesian Approach.

Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri

CoRR, 2020

Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis.

David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos

CoRR, 2020

2019

Adversarial classification: An adversarial risk analysis approach.

Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri

Int. J. Approx. Reason., 2019

Augmented Probability Simulation Methods for Non-cooperative Games.

Tahir Ekin, Roi Naveiro, Alberto Torres-Barrán, David Ríos Insua

CoRR, 2019

Opponent Aware Reinforcement Learning.

Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate

CoRR, 2019

Gradient Methods for Solving Stackelberg Games.

Roi Naveiro, David Ríos Insua

Proceedings of the Algorithmic Decision Theory - 6th International Conference, 2019

Reinforcement Learning under Threats.

Víctor Gallego, Roi Naveiro, David Ríos Insua

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019