9 citations · 19 across the 3 of their papers we have counts for
3 papers
Topological safeguard for evasion attack interpreting the neural networks' behavior
Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Iñigo Mendialdua +1
In the last years, Deep Learning technology has been proposed in different fields, bringing many advances in each of them, but identifying new threats in these solutions regarding…
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment
Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Jon Egana-Zubia +1
In recent years, Deep Neural Network models have been developed in different fields, where they have brought many advances. However, they have also started to be used in tasks wher…
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment
Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria +1
Deep Neural Networks were first developed decades ago, but it was not until recently that they started being extensively used, due to their computing power requirements. Since then…