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Authors: Costas Neocleous 1 and Christos N. Schizas 2

Affiliations: 1 Cyprus University of Technology, Cyprus ; 2 University of Cyprus, Cyprus

ISBN: 978-989-758-054-3

Keyword(s): Deep Neural Networks, Adversarial Examples, Feature Distribution in Neural Networks.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Computation Issues in Social Behaviour Emergence ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: A recent article in which it is claimed that adversarial examples exist in deep artificial neural networks (ANN) is critically examined. The newly discovered properties of ANNs are critically evaluated. Specifically, we point that adversarial examples can be serious problems in critical applications of pattern recognition. Also, they may stall the further development of artificial neural networks. We challenge the absolute existence of these examples, as this has not been universally proven yet. We also suggest that ANN structures, that correctly recognize adversarial examples, can be developed.

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Paper citation in several formats:
Neocleous, C. and N. Schizas, C. (2014). On the Claim for the Existence of “Adversarial Examples” in Deep Learning Neural Networks.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 306-309. DOI: 10.5220/0005152503060309

@conference{ncta14,
author={Costas Neocleous. and Christos N. Schizas.},
title={On the Claim for the Existence of “Adversarial Examples” in Deep Learning Neural Networks},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={306-309},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005152503060309},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - On the Claim for the Existence of “Adversarial Examples” in Deep Learning Neural Networks
SN - 978-989-758-054-3
AU - Neocleous, C.
AU - N. Schizas, C.
PY - 2014
SP - 306
EP - 309
DO - 10.5220/0005152503060309

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