Jon Vadillo

According to our database, Jon Vadillo authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Adversarial Attacks in Explainable Machine Learning: A Survey of Threats Against Models and Humans.

Jon Vadillo, Roberto Santana, José Antonio Lozano

WIREs Data. Mining. Knowl. Discov., March, 2025

2024

Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks.

Jon Vadillo, Roberto Santana, José Antonio Lozano, Marta Kwiatkowska

CoRR, 2024

IKER-GAITU: Research on Language Technology for Basque and Other Low-Resource Languages.

Eneko Agirre, Itziar Aldabe, Xabier Arregi, Mikel Artetxe, Unai Atutxa, Ekhi Azurmendi, Iker de la Iglesia, Julen Etxaniz, Víctor García Romillo, Inma Hernáez Rioja, Asier Herranz, Mikel Iruskieta, Oier López de Lacalle, Eva Navas, Paula Ontalvilla, Aitor Ormazabal, Naiara Pérez, German Rigau, Oscar Sainz, Jon Sánchez, Ibon Saratxaga, Aitor Soroa, Christoforos Souganidis, Jon Vadillo, Aimar Zabala

Proceedings of the Seminar of the Spanish Society for Natural Language Processing: Projects and System Demonstrations (SEPLN-CEDI-PD 2024) co-located with the 7th Spanish Conference on Informatics (CEDI 2024), 2024

2023

Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions.

Jon Vadillo, Roberto Santana, José Antonio Lozano

J. Mach. Learn. Res., 2023

2022

Analysis of dominant classes in universal adversarial perturbations.

Jon Vadillo, Roberto Santana, José Antonio Lozano

Knowl. Based Syst., 2022

On the human evaluation of universal audio adversarial perturbations.

Jon Vadillo, Roberto Santana

Comput. Secur., 2022

2021

When and How to Fool Explainable Models (and Humans) with Adversarial Examples.

Jon Vadillo, Roberto Santana, José Antonio Lozano

CoRR, 2021

Adversarial Perturbations for Evolutionary Optimization.

Unai Garciarena, Jon Vadillo, Alexander Mendiburu, Roberto Santana

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

On the human evaluation of audio adversarial examples.

Jon Vadillo, Roberto Santana

CoRR, 2020

Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations.

Jon Vadillo, Roberto Santana, José Antonio Lozano

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Universal adversarial examples in speech command classification.

Jon Vadillo, Roberto Santana

CoRR, 2019

2018

I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing.

Kevin Villalobos, Jon Vadillo, Borja Diez, Borja Calvo, Arantza Illarramendi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018