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2020 – today
- 2024
[j2]Xabier Echeberria-Barrio
, Amaia Gil-Lerchundi, Iñigo Mendialdua, Raul Orduna Urrutia:
Topological safeguard for evasion attack interpreting the neural networks' behavior. Pattern Recognit. 147: 110130 (2024)- [c5]Francesco Zola, Xabier Echeberria, Jokin Petisco, Nikos Vakakis, Antonis Voulgaridis, Konstantinos Votis:
KINAITICS: Enhancing Cybersecurity Education Using AI-Based Tools and Gamification. ICETC 2024: 138-147 - [i6]Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Iñigo Mendialdua, Raul Orduna Urrutia:
Topological safeguard for evasion attack interpreting the neural networks' behavior. CoRR abs/2402.07480 (2024) - [i5]Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Jon Egaña Zubia, Raul Orduna Urrutia:
Understanding Deep Learning defenses Against Adversarial Examples Through Visualizations for Dynamic Risk Assessment. CoRR abs/2402.07496 (2024) - [i4]Xabier Echeberria-Barrio, Mikel Gorricho, Selene Valencia, Francesco Zola:
NeuralSentinel: Safeguarding Neural Network Reliability and Trustworthiness. CoRR abs/2402.07506 (2024) - 2022
- [j1]Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Jon Egaña Zubia, Raul Orduna Urrutia:
Understanding deep learning defenses against adversarial examples through visualizations for dynamic risk assessment. Neural Comput. Appl. 34(23): 20477-20490 (2022) - 2021
- [c4]Xabier Echeberria-Barrio, Francesco Zola, Lander Segurola-Gil, Raul Orduna Urrutia:
SmartWarden: Automated Intrusion Detection System for Smart Contracts. BRAINS 2021: 51-52 - [c3]Lander Segurola-Gil, Francesco Zola, Xabier Echeberria-Barrio, Raul Orduna Urrutia:
NBcoded: Network Attack Classifiers Based on Encoder and Naive Bayes Model for Resource Limited Devices. PKDD/ECML Workshops (2) 2021: 55-70 - [i3]Lander Segurola-Gil, Francesco Zola, Xabier Echeberria-Barrio, Raul Orduna Urrutia:
NBcoded: network attack classifiers based on Encoder and Naive Bayes model for resource limited devices. CoRR abs/2109.07273 (2021) - 2020
- [c2]Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia:
Generative Adversarial Networks for Bitcoin Data Augmentation. BRAINS 2020: 136-143 - [c1]Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna Urrutia:
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment. CISIS 2020: 316-326 - [i2]Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia:
Generative Adversarial Networks for Bitcoin Data Augmentation. CoRR abs/2005.13369 (2020) - [i1]Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Ines Goicoechea-Telleria, Raul Orduna Urrutia:
Deep Learning Defenses Against Adversarial Examples for Dynamic Risk Assessment. CoRR abs/2007.01017 (2020)
Coauthor Index
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