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Going in Style

Audio Backdoors Through Stylistic Transformations

Conference Paper (2023)
Author(s)

Stefanos Koffas (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Luca Pajola (University of Padua)

Stjepan Picek (Radboud Universiteit Nijmegen, TU Delft - Electrical Engineering, Mathematics and Computer Science)

Mauro Conti (TU Delft - Electrical Engineering, Mathematics and Computer Science, University of Padua)

Research Group
Cyber Security
DOI related publication
https://doi.org/10.1109/ICASSP49357.2023.10096332 Final published version
More Info
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Publication Year
2023
Language
English
Research Group
Cyber Security
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
ISBN (print)
978-1-7281-6328-4
ISBN (electronic)
978-1-7281-6327-7
Event
48th IEEE International Conference on Acoustics, Speech and Signal Processing 2023 (2023-06-04 - 2023-06-10), Rhodes Island, Greece
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Abstract

This work explores stylistic triggers for backdoor attacks in the audio domain: dynamic transformations of malicious samples through guitar effects. We first formalize stylistic triggers – currently missing in the literature. Second, we explore how to develop stylistic triggers in the audio domain by proposing JingleBack. Our experiments confirm the effectiveness of the attack, achieving a 96% attack success rate. Our code is available in https://github.com/skoffas/going-in-style.

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