Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aran Chindaudom"'
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 122 (2022)
The continuous advances in the technology of Convolutional Neural Network (CNN) and Deep Learning have been applied to facilitate various tasks of human life. However, security risks of the users’ information and privacy have been increasing rapidl
Externí odkaz:
https://doaj.org/article/791812afe62847408ea23a14ef8b76f0
Publikováno v:
2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
In this paper, we present a method to camouflage an attack on image recognition system by using an adversarial patch embedded on a scan-ready QR code. Adversarial patch refers to a class of a real-world attack on a machine learning system that adds a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f1585fc961c8272a4609ce85d32f4b7
https://doi.org/10.1109/icievicivpr48672.2020.9306675
https://doi.org/10.1109/icievicivpr48672.2020.9306675
Autor:
Kazunori Kotani, Prarinya Siritanawan, Pongpeera Sukasem, Karin Sumonkayothin, Poomdharm Benjasirimonkol, Aran Chindaudom
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030638191
ICONIP (4)
ICONIP (4)
At present, deep learning and convolutional neural networks are currently two of the fastest rising trends as the tool to perform a multitude of tasks such as image classification and computer vision. However, vulnerabilities in such networks can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f877baed86fc1362b2080e17670b54
https://doi.org/10.1007/978-3-030-63820-7_91
https://doi.org/10.1007/978-3-030-63820-7_91
