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Machine Learning systems are vulnerable to adversarial attacks and will highly likely produce incorrect outputs under these attacks.
“Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences,”
Steven Davis and Paul Mermelstein, · 1980
Earlier work this paper cites.
“Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,”
Alex Graves, Santiago Fernández, Faustino Gomez, and Jürgen Schmidhuber, · 2006
Earlier work this paper cites.
“Low-complexity variable frame rate analysis for speech recognition and voice activity detection,”
Zheng-Hua Tan and Børge Lindberg, · 2010
Earlier work this paper cites.
“Conditional generative adversarial networks for speech enhancement and noise-robust speaker verification,”
Daniel Michelsanti and Zheng-Hua Tan, · 2012
Earlier work this paper cites.
“Intriguing properties of neural networks,”
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian J. Goodfellow, and Rob Fergus, · 2014
Earlier work this paper cites.
“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
Earlier work this paper cites.
“Convolutional neural networks for speech recognition,”
O. Abdel-Hamid, A. Mohamed, H. Jiang, L. Deng, G. Penn, and D. Yu, · 2014
Earlier work this paper cites.
“Explaining and harnessing adversarial examples,”
Ian Goodfellow, Jonathon Shlens, and Christian Szegedy, · 2015
Earlier work this paper cites.
“Convolutional neural networks for small-footprint keyword spotting,”
Tara Sainath and Carolina Parada, · 2015
Earlier work this paper cites.
“Deepfool: A simple and accurate method to fool deep neural networks,”
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, and Pascal Frossard, · 2016
Earlier work this paper cites.
“Delving into transferable adversarial examples and black-box attacks,”
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Xiaodong Song, · 2017
Cited alongside, same era.
“Towards evaluating the robustness of neural networks,”
Nicholas Carlini and David A. Wagner, · 2017
Cited alongside, same era.
“Ead: Elastic-net attacks to deep neural networks via adversarial examples,”
Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, and Cho-Jui Hsieh, · 2017
Cited alongside, same era.
“Did you hear that? adversarial examples against automatic speech recognition,”
Moustafa Alzantot, Bharathan Balaji, and Mani B. Srivastava, · 2017
Cited alongside, same era.
“Houdini: Fooling deep structured prediction models,”
Moustapha Cissé, Yossi Adi, Natalia Neverova, and Joseph Keshet, · 2017
“Commandersong: A systematic approach for practical adversarial voice recognition,”
Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiaofeng Wang, and Carl A. Gunter, · 2018
Later among the works it cites.
“Speech commands: A dataset for limited-vocabulary speech recognition,”
Pete Warden, · 2018
Later among the works it cites.
“Pixeldefend: Leveraging generative models to understand and defend against adversarial examples,”
Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, and Nate Kushman, · 2018
Later among the works it cites.
“Feature squeezing: Detecting adversarial examples in deep neural networks,”
Weilin Xu, David Evans, and Yanjun Qi, · 2018
Later among the works it cites.
“Characterizing audio adversarial examples using temporal dependency,”
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Cited alongside, same era.
“Exploring neural transducers for end-to-end speech recognition,”
Eric Battenberg, Jitong Chen, Rewon Child, Adam Coates, Yashesh Gaur, Yi Li, Hairong Liu, Sanjeev Satheesh, David Seetapun, Anuroop Sriram, and Zhenyao Zhu, · 2017
Cited alongside, same era.
“Dnn filter bank cepstral coefficients for spoofing detection,”
Hong Yu, Zheng-Hua Tan, Yiming Zhang, Zhanyu Ma, and Jun Guo, · 2017
Cited alongside, same era.
“Is robustness the cost of accuracy? – a comprehensive study on the robustness of 18 deep image classification models,” 08 2018
Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, and Yupeng Gao, · 2018
Cited alongside, same era.
“Audio adversarial examples: Targeted attacks on speech-to-text,”
Nicholas Carlini and David Wagner, · 2018
Cited alongside, same era.
“Fooling end-to-end speaker verification by adversarial examples,”
Felix Kreuk, Yossi Adi, Moustapha Cisse, and Joseph Keshet, · 2018
Cited alongside, same era.
Zhuolin Yang, Bo Li, Pin-Yu Chen, and Dawn Xiaodong Song, · 2018
Later among the works it cites.
“Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples,”
Anish Athalye, Nicholas Carlini, and David A. Wagner, · 2018
Later among the works it cites.
Krishan Rajaratnam, Kunal Shah, and Jugal Kalita, · 2018
Later among the works it cites.
“Noise flooding for detecting audio adversarial examples against automatic speech recognition,”
Krishan Rajaratnam and Jugal Kalita, · 2018
Later among the works it cites.
David J Miller, Zhen Xiang, and George Kesidis, · 2019
Closest in time.
“Mozilla common voice dataset,” 2019
2019
Closest in time.