Universal adversarial examples in speech command classification J Vadillo, R Santana arXiv preprint arXiv:1911.10182, 2019 | 30 | 2019 |
On the human evaluation of universal audio adversarial perturbations J Vadillo, R Santana Computers & Security 112, 102495, 2022 | 15* | 2022 |
When and how to fool explainable models (and humans) with adversarial examples J Vadillo, R Santana, JA Lozano arXiv preprint arXiv:2107.01943, 2021 | 8 | 2021 |
Analysis of dominant classes in universal adversarial perturbations J Vadillo, R Santana, JA Lozano Knowledge-Based Systems 236, 107719, 2022 | 3 | 2022 |
I4TSPS: a visual-interactive web system for industrial time-series pre-processing K Villalobos, J Vadillo, B Diez, B Calvo, A Illarramendi 2018 IEEE International Conference on Big Data (Big Data), 2012-2018, 2018 | 3 | 2018 |
Adversarial perturbations for evolutionary optimization U Garciarena, J Vadillo, A Mendiburu, R Santana International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 2 | 2021 |
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions J Vadillo, R Santana, JA Lozano Journal of Machine Learning Research 24 (15), 1-42, 2023 | 1 | 2023 |
Exploring gaps in deepfool in search of more effective adversarial perturbations J Vadillo, R Santana, JA Lozano International Conference on Machine Learning, Optimization, and Data Science …, 2020 | 1 | 2020 |
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks J Vadillo, R Santana, JA Lozano, M Kwiatkowska arXiv preprint arXiv:2403.13740, 2024 | | 2024 |