Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems

Husnoo, Muhammad Akbar and Anwar, Adnan 2021, Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems, Ad Hoc Networks, vol. 122, pp. 1-9, doi: 10.1016/j.adhoc.2021.102627.

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Title Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems
Author(s) Husnoo, Muhammad Akbar
Anwar, Adnan
Journal name Ad Hoc Networks
Volume number 122
Article ID 102627
Start page 1
End page 9
Total pages 9
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-11-01
ISSN 1570-8705
Keyword(s) Internet of Things (IoT)
Industrial Internet of Things (IIoT)
One-pixel attack
Machine learning
Deep Learning
Adversarial machine learning
Attacks
Data integrity
Defenses
Image recovery
Language eng
DOI 10.1016/j.adhoc.2021.102627
Field of Research 0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30154216

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