Low-Pass Image Filtering to Achieve Adversarial Robustness

Low-Pass Image Filtering to Achieve Adversarial Robustness

In this paper, we continue the research cycle on the properties of convolutional neural network-based image recognition systems and ways to improve noise immunity and robustness. Currently, a popular research area related to artificial neural networks is adversarial attacks. The adversarial attacks...

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Bibliographic Details
Main Authors:	Vadim Ziyadinov, Maxim Tereshonok
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Sensors
Subjects:	adversarial attacks artificial neural networks robustness image filtering convolutional neural networks image recognition
Online Access:	https://www.mdpi.com/1424-8220/23/22/9032

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