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ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks

Hossain, KF, Kamran, SA, Tavakoli, A, Pan, Lei, Ma, D, Rajasegarar, Sutharshan and Karmakar, Chandan 2021, ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks, in ICMLA 2021 : Proceedings of the 2021 20th IEEE International Conference on Machine Learning and Applications, IEEE, Piscataway, N.J., pp. 50-56, doi: 10.1109/ICMLA52953.2021.00016.

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Title ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
Author(s) Hossain, KF
Kamran, SA
Tavakoli, A
Pan, LeiORCID iD for Pan, Lei orcid.org/0000-0002-4691-8330
Ma, D
Rajasegarar, SutharshanORCID iD for Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736
Karmakar, ChandanORCID iD for Karmakar, Chandan orcid.org/0000-0003-1814-0856
Conference name IEEE Machine Learning and Applications. Conference (20th : 2021 : Pasadena, Calif.)
Conference location Pasadena, Calif.
Conference dates 2021/12/13 - 2021/12/16
Title of proceedings ICMLA 2021 : Proceedings of the 2021 20th IEEE International Conference on Machine Learning and Applications
Publication date 2021
Start page 50
End page 56
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) CORE2020 C
ISBN 9781665443371
Language eng
DOI 10.1109/ICMLA52953.2021.00016
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30160175

Document type: Conference Paper
Collections: Faculty of Science, Engineering and Built Environment
School of Information Technology
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Created: Thu, 16 Dec 2021, 08:23:03 EST

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