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. Attached Files Name Description MIMEType Size Downloads Title ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks Author(s) Hossain, KF Kamran, SA Tavakoli, A Pan, Lei orcid.org/0000-0002-4691-8330 Ma, D Rajasegarar, Sutharshan orcid.org/0000-0002-6559-6736 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 Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 16 Dec 2021, 08:23:03 EST Fri, 17 Dec 2021, 11:44:06 EST Wed, 02 Feb 2022, 15:36:41 EST Sat, 19 Mar 2022, 01:47:12 EST Tue, 26 Apr 2022, 12:57:08 EST Tue, 26 Apr 2022, 16:19:35 EST Tue, 26 Apr 2022, 16:22:49 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 37 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 16 Dec 2021, 08:23:03 EST