10 citations · 27 across the 6 of their papers we have counts for
11 papers
Analysis of Dominant Classes in Universal Adversarial Perturbations
Jon Vadillo, Roberto Santana, Jose A. Lozano
The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to effici…
On the human evaluation of audio adversarial examples
Jon Vadillo, Roberto Santana
Human-machine interaction is increasingly dependent on speech communication. Machine Learning models are usually applied to interpret human speech commands. However, these models c…
Universal adversarial examples in speech command classification
Jon Vadillo, Roberto Santana
Adversarial examples are inputs intentionally perturbed with the aim of forcing a machine learning model to produce a wrong prediction, while the changes are not easily detectable…
Evolving Gaussian Process kernels from elementary mathematical expressions
Ibai Roman, Roberto Santana, Alexander Mendiburu +1
Choosing the most adequate kernel is crucial in many Machine Learning applications. Gaussian Process is a state-of-the-art technique for regression and classification that heavily…
Sentiment analysis with genetically evolved Gaussian kernels
Ibai Roman, Alexander Mendiburu, Roberto Santana +1
Sentiment analysis consists of evaluating opinions or statements from the analysis of text. Among the methods used to estimate the degree in which a text expresses a given sentimen…
Towards automatic construction of multi-network models for heterogeneous multi-task learning
Unai Garciarena, Alexander Mendiburu, Roberto Santana
Multi-task learning, as it is understood nowadays, consists of using one single model to carry out several similar tasks. From classifying hand-written characters of different alph…