Targeted Universal Adversarial Perturbations for Automatic Speech Recognition Zong, W, Chow, YW, Susilo, W, Rana, Santu and Venkatesh, Svetha 2021, Targeted Universal Adversarial Perturbations for Automatic Speech Recognition, in ISC 2021 : Proceedings of the 24th Information Security International Conference, Springer, Cham, Switzerland, pp. 358-373, doi: 10.1007/978-3-030-91356-4_19. Attached Files Name Description MIMEType Size Downloads Title Targeted Universal Adversarial Perturbations for Automatic Speech Recognition Author(s) Zong, W Chow, YW Susilo, W Rana, Santu orcid.org/0000-0003-2247-850X Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Conference name Information security. Conference (24th : 2021 : Virtual Event) Conference location Virtual Event Conference dates 2021/11/10 - 2021/11/12 Title of proceedings ISC 2021 : Proceedings of the 24th Information Security International Conference Editor(s) Liu, JK Katsikas, S Meng, W Susilo, W Intan, R Publication date 2021 Series Lecture Notes in Computer Science Start page 358 End page 373 Total pages 16 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Audio adversarial example Automatic speech recognition Computer Science Computer Science, Artificial Intelligence Computer Science, Information Systems Computer Science, Software Engineering Computer Science, Theory & Methods Deep learning Machine learning Science & Technology Technology Universal adversarial perturbations ISBN 9783030913557 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-91356-4_19 HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30161335 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment A2I2 (Applied Artificial Intelligence Institute) 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 Wed, 12 Jan 2022, 07:43:49 EST Wed, 12 Jan 2022, 10:07:25 EST Wed, 12 Jan 2022, 14:20:10 EST Wed, 12 Jan 2022, 14:37:20 EST Thu, 28 Apr 2022, 11:01:35 EST Thu, 28 Apr 2022, 14:53:08 EST Thu, 28 Apr 2022, 14:57:37 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 16 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Wed, 12 Jan 2022, 10:07:25 EST