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Targeted Universal Adversarial Perturbations for Automatic Speech Recognition
Version 2 2024-06-03, 17:19
Version 1 2022-01-12, 08:43
conference contribution
posted on 2021-01-01, 00:00 authored by W Zong, Y W Chow, W Susilo, Santu RanaSantu Rana, Svetha VenkateshSvetha VenkateshTargeted Universal Adversarial Perturbations for Automatic Speech Recognition
History
Event
Information security. Conference (24th : 2021 : Virtual Event)Volume
13118Series
Lecture Notes in Computer SciencePagination
358 - 373Publisher
SpringerLocation
Virtual EventPlace of publication
Cham, SwitzerlandPublisher DOI
Start date
2021-11-10End date
2021-11-12ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030913557Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
J Liu, S Katsikas, W Meng, W Susilo, R IntanTitle of proceedings
ISC 2021 : Proceedings of the 24th Information Security International ConferenceUsage metrics
Categories
No categories selectedKeywords
Audio adversarial exampleAutomatic speech recognitionComputer ScienceComputer Science, Artificial IntelligenceComputer Science, Information SystemsComputer Science, Software EngineeringComputer Science, Theory & MethodsDeep learningMachine learningScience & TechnologyTechnologyUniversal adversarial perturbations
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