Adversarial examples: A survey

Paweł Zawistowski


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
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.
projectDefending machine learning models against adversarial examples. Project leader: Zawistowski Paweł, , Phone: +48 22 2347718, start date 16-07-2018, planned end date 30-04-2019, II/2018/GD/2, Implemented
WEiTI Działalność statutowa
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, BookChapterMatConf
Ministerial score (2013-2016) = 15.0, BookChapterMatConf
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