Adversarial examples: A survey

Paweł Zawistowski

Abstract

Adversarial examples are a phenomenon that have gathered a lot of attention in recent studies. The fact that the addition of very small, but carefully crafted perturbations to the inputs of sophisticated and high performing machine learning models may cause them to make significant errors, is both fascinating and important. A survey of findings connected with adversarial examples is presented and discussed in this paper.
Author Paweł Zawistowski (FEIT / IN)
Paweł Zawistowski,,
- The Institute of Computer Science
Pages295-298
Publication size in sheets0.5
Book Proceedings of the Baltic URSI Symposium supported by National Committees of the Baltic Countries, vol. CFP18N89-ART, 2018, IEEE, ISBN 978-83-949421-3-7, 300 p.
DOIDOI:10.23919/URSI.2018.8406730
URL https://ieeexplore.ieee.org/document/8406730/metrics#metrics
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 12-10-2018, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, 12-10-2018, BookChapterMatConf
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