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Recently, the vulnerability of DNN-based audio systems to adversarial attacks has obtained the increasing attention.
Gong, Y.; Li, B.; Poellabauer, C.; and Shi, Y. 2019 · 1905
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Universal adversarial perturbations for speech recognition systems
Neekhara, P.; Hussain, S.; Pandey, P.; Dubnov, S.; McAuley, J.; and Koushanfar, F. 2019 · 1905
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Universal adversarial audio perturbations
Abdoli, S.; Hafemann, L. G.; Rony, J.; Ayed, I. B.; Cardinal, P.; and Koerich, A. L. 2019 · 1908
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Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
Chen, G.; Chen, S.; Fan, L.; Du, X.; Zhao, Z.; Song, F.; and Liu, Y. 2019 · 1911
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Universal adversarial examples in speech command classification
Vadillo, J.; and Santana, R. 2019 · 1911
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Fooling end-to-end speaker verification with adversarial examples
Kreuk, F.; Adi, Y.; Cisse, M.; and Keshet, J. 2018 · 1966
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Principal component analysis
Wold, S.; Esbensen, K.; and Geladi, P. 1987 · 1987
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Extracting and composing robust features with denoising autoencoders
Vincent, P.; Larochelle, H.; Bengio, Y.; and Manzagol, P.-A. 2008 · 2008
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Generative adversarial nets
Goodfellow, I.; Pouget-Abadie, J.; Mirza, M.; Xu, B.; Warde-Farley, D.; Ozair, S.; Courville, A.; and Bengio, Y. 2014 · 2014
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Explaining and harnessing adversarial examples
Goodfellow, I. J.; Shlens, J.; and Szegedy, C. 2014 · 2014
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A Dataset and Taxonomy for Urban Sound Research
Salamon, J.; Jacoby, C.; and Bello, J. P. 2014 · 2014
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Deep neural networks for small footprint text-dependent speaker verification
Variani, E.; Lei, X.; McDermott, E.; Moreno, I. L.; and Gonzalez-Dominguez, J. 2014 · 2014
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Convolutional Neural Networks for Small-Footprint Keyword Spotting
Sainath, T. N.; and Parada, C. 2015 · 2015
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CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit
Christophe, V.; Junichi, Y.; and Kirsten, M. 2016 · 2016
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Adversarial examples in the physical world
Kurakin, A.; Goodfellow, I.; and Bengio, S. 2016 · 2016
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Deepfool: a simple and accurate method to fool deep neural networks
Moosavi-Dezfooli, S.-M.; Fawzi, A.; and Frossard, P. 2016 · 2016
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Audio adversarial examples: Targeted attacks on speech-to-text
Carlini, N.; and Wagner, D. 2018 · 2018
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Generative adversarial perturbations
Poursaeed, O.; Katsman, I.; Gao, B.; and Belongie, S. 2018 · 2018
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X-vectors: Robust dnn embeddings for speaker recognition
Snyder, D.; Garcia-Romero, D.; Sell, G.; Povey, D.; and Khudanpur, S. 2018 · 2018
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Constructing unrestricted adversarial examples with generative models
Song, Y.; Shu, R.; Kushman, N.; and Ermon, S. 2018 · 2018
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Wave-u-net: A multi-scale neural network for end-to-end audio source separation
Stoller, D.; Ewert, S.; and Dixon, S. 2018 · 2018
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Speech commands: A dataset for limited-vocabulary speech recognition
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Carlini, N.; and Wagner, D. 2017 · 2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Madry, A.; Makelov, A.; Schmidt, L.; Tsipras, D.; and Vladu, A. 2017 · 2017
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Universal adversarial perturbations
Moosavi-Dezfooli, S.-M.; Fawzi, A.; Fawzi, O.; and Frossard, P. 2017 · 2017
Cited alongside, same era.
Learning environmental sounds with end-to-end convolutional neural network
Tokozume, Y.; and Harada, T. 2017 · 2017
Cited alongside, same era.
Hello edge: Keyword spotting on microcontrollers
Zhang, Y.; Suda, N.; Lai, L.; and Chandra, V. 2017 · 2017
Cited alongside, same era.
Did you hear that? adversarial examples against automatic speech recognition
Alzantot, M.; Balaji, B.; and Srivastava, M. 2018 · 2018
Cited alongside, same era.
Warden, P. 2018 · 2018
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Towards robust training of neural networks by regularizing adversarial gradients
Yu, F.; Xu, Z.; Wang, Y.; Liu, C.; and Chen, X. 2018 · 2018
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Commandersong: A systematic approach for practical adversarial voice recognition
Yuan, X.; Chen, Y.; Zhao, Y.; Long, Y.; Liu, X.; Chen, K.; Zhang, S.; Huang, H.; Wang, X.; and Gunter, C. A. 2018 · 2018
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End-to-end environmental sound classification using a 1D convolutional neural network
Abdoli, S.; Cardinal, P.; and Koerich, A. L. 2019 · 2019
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CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator
Phan, H.; Xie, Y.; Liao, S.; Chen, J.; and Yuan, B. 2020 · 2020
Closest in time.
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
Closest in time.