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pro vyhledávání: '"Petra Vidnerová"'
Autor:
Roman Neruda, Petra Vidnerová
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 127
This paper deals with the vulnerability of machine learning models to adversarial examples and its implication for robustness and generalization properties. We propose an evolutionary algorithm that can generate adversarial examples for any machine l
Autor:
Roman Neruda, Petra Vidnerová
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319912523
ICAISC (1)
ICAISC (1)
We propose a simple way to increase the robustness of deep neural network models to adversarial examples. The new architecture obtained by stacking deep neural network and RBF network is proposed. It is shown on experiments that such architecture is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edb8ca85705a722831c21a72feaf1529
https://doi.org/10.1007/978-3-319-91253-0_25
https://doi.org/10.1007/978-3-319-91253-0_25
Autor:
Petra Vidnerová, Roman Neruda
Publikováno v:
MISNC
Studying vulnerability of machine learning models to adversarial examples is an important way to understand their robustness and generalization properties. In this paper, we propose a genetic algorithm for generating adversarial examples for machine