Targeted Universal Adversarial Perturbations for Automatic Speech Recognition
Version 2 2024-06-03, 17:19Version 2 2024-06-03, 17:19
Version 1 2022-01-12, 08:43Version 1 2022-01-12, 08:43
conference contribution
posted on 2024-06-03, 17:19 authored by W Zong, YW Chow, W Susilo, Santu RanaSantu Rana, Svetha VenkateshSvetha VenkateshTargeted Universal Adversarial Perturbations for Automatic Speech Recognition
History
Volume
13118Pagination
358-373Location
Virtual EventStart date
2021-11-10End date
2021-11-12ISSN
0302-9743eISSN
1611-3349ISBN-13
9783030913557Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
Liu JK, Katsikas S, Meng W, Susilo W, Intan RTitle of proceedings
ISC 2021 : Proceedings of the 24th Information Security International ConferenceEvent
Information security. Conference (24th : 2021 : Virtual Event)Publisher
SpringerPlace of publication
Cham, SwitzerlandSeries
Lecture Notes in Computer ScienceUsage metrics
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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 perturbations4602 Artificial intelligence4611 Machine learning
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