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Recently, adversarial attacks for audio recognition have attracted much attention.
Universal adversarial perturbations for speech recognition systems
Neekhara, P.; Hussain, S.; Pandey, P.; Dubnov, S.; McAuley, J.; and Koushanfar, F. 2019 · 1905
Earlier work this paper cites.
Common voice: A massively-multilingual speech corpus
Ardila, R.; Branson, M.; Davis, K.; Henretty, M.; Kohler, M.; Meyer, J.; Morais, R.; Saunders, L.; Tyers, F. M.; and Weber, G. 2019 · 1912
Earlier work this paper cites.
On Defining the Phoneme
Twaddell, W. F. 1935 · 1935
Earlier work this paper cites.
TED-LIUM: an Automatic Speech Recognition dedicated corpus
Rousseau, A.; Deléglise, P.; and Esteve, Y. 2012 · 2012
Earlier work this paper cites.
Signal Processing Information Base (SPIB)
Federal University of Santa Catarina (UFSC), C.; and (LINSE), S. P. L. 2013 · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Goodfellow, I. J.; Shlens, J.; and Szegedy, C. 2014 · 2014
Earlier work this paper cites.
Deep speech: Scaling up end-to-end speech recognition
Hannun, A.; Case, C.; Casper, J.; Catanzaro, B.; Diamos, G.; Elsen, E.; Prenger, R.; Satheesh, S.; Sengupta, S.; Coates, A.; et al. 2014 · 2014
Earlier work this paper cites.
Librispeech: an asr corpus based on public domain audio books
Panayotov, V.; Chen, G.; Povey, D.; and Khudanpur, S. 2015 · 2015
Earlier work this paper cites.
Reverberation robust acoustic modeling using i-vectors with time delay neural networks
Peddinti, V.; Chen, G.; Povey, D.; and Khudanpur, S. 2015 · 2015
Earlier work this paper cites.
Deep speech 2: End-to-end speech recognition in english and mandarin
Amodei, D.; Ananthanarayanan, S.; Anubhai, R.; Bai, J.; Battenberg, E.; Case, C.; Casper, J.; Catanzaro, B.; Cheng, Q.; Chen, G.; et al. 2016 · 2016
Earlier work this paper cites.
Deep speaker: an end-to-end neural speaker embedding system
Li, C.; Ma, X.; Jiang, B.; Li, X.; Zhang, X.; Liu, X.; Cao, Y.; Kannan, A.; and Zhu, Z. 2017 · 2017
Cited alongside, same era.
Audio adversarial examples: Targeted attacks on speech-to-text
Carlini, N.; and Wagner, D. 2018 · 2018
Cited alongside, same era.
X-vectors: Robust dnn embeddings for speaker recognition
Snyder, D.; Garcia-Romero, D.; Sell, G.; Povey, D.; and Khudanpur, S. 2018 · 2018
Cited alongside, same era.
Robust audio adversarial example for a physical attack
Yakura, H.; and Sakuma, J. 2018 · 2018
Cited alongside, same era.
Deep-FSMN for large vocabulary continuous speech recognition
Zhang, S.; Lei, M.; Yan, Z.; and Dai, L. 2018a · 2018
Cited alongside, same era.
Stop bugging me! evading modern-day wiretapping using adversarial perturbations
Senior, T. B.; Mathov, Y.; Shabtai, A.; and Elovici, Y. 2020 · 2020
Later among the works it cites.
Real-time, universal, and robust adversarial attacks against speaker recognition systems
Xie, Y.; Shi, C.; Li, Z.; Liu, J.; Chen, Y.; and Yuan, B. 2020 · 2020
Later among the works it cites.
A Survey of Data Augmentation Approaches for NLP
Feng, S. Y.; Gangal, V.; Wei, J.; Chandar, S.; Vosoughi, S.; Mitamura, T.; and Hovy, E. H. 2021 · 2021
Later among the works it cites.
Exploring targeted universal adversarial perturbations to end-to-end asr models
Lu, Z.; Han, W.; Zhang, Y.; and Cao, L. 2021 · 2021
Later among the works it cites.
Adversarial Examples in Physical World
Wang, J. 2021 · 2021
Later among the works it cites.
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Imperceptible, robust, and targeted adversarial examples for automatic speech recognition
Qin, Y.; Carlini, N.; Cottrell, G.; Goodfellow, I.; and Raffel, C. 2019 · 2019
Cited alongside, same era.
A survey on Image Data Augmentation for Deep Learning
Shorten, C.; and Khoshgoftaar, T. M. 2019 · 2019
Cited alongside, same era.
Adversarial attack on deep product quantization network for image retrieval
Feng, Y.; Chen, B.; Dai, T.; and Xia, S.-T. 2020 · 2020
Cited alongside, same era.
Universal adversarial perturbations generative network for speaker recognition
Li, J.; Zhang, X.; Jia, C.; Xu, J.; Zhang, L.; Wang, Y.; Ma, S.; and Gao, W. 2020 · 2020
Cited alongside, same era.
Weighted-sampling audio adversarial example attack
Liu, X.; Wan, K.; Ding, Y.; Zhang, X.; and Zhu, Q. 2020 · 2020
Cited alongside, same era.
Universal Adversarial Patch Attack for Automatic Checkout Using Perceptual and Attentional Bias
Wang, J.; Liu, A.; Bai, X.; and Liu, X. 2022a
Cited in the paper.
Defensive Patches for Robust Recognition in the Physical World
Wang, J.; Yin, Z.; Hu, P.; Liu, A.; Tao, R.; Qin, H.; Liu, X.; and Tao, D. 2022b
Cited in the paper.
Wang, J.; Liu, A.; Yin, Z.; Liu, S.; Tang, S.; and Liu, X. 2021 · 2021
Later among the works it cites.
Enabling fast and universal audio adversarial attack using generative model
Xie, Y.; Li, Z.; Shi, C.; Liu, J.; Chen, Y.; and Yuan, B. 2021 · 2021
Later among the works it cites.
Attack on practical speaker verification system using universal adversarial perturbations
Zhang, W.; Zhao, S.; Liu, L.; Li, J.; Cheng, X.; Zheng, T. F.; and Hu, X. 2021 · 2021
Later among the works it cites.
Targeted Universal Adversarial Perturbations for Automatic Speech Recognition
Zong, W.; Chow, Y.-W.; Susilo, W.; Rana, S.; and Venkatesh, S. 2021 · 2021
Later among the works it cites.