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Recent studies have highlighted adversarial examples as a ubiquitous threat to different neural network models and many downstream applications.
Binary codes capable of correcting deletions, insertions and reversals
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
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ImageNet classification with deep convolutional neural networks
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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Explaining and harnessing adversarial examples
Ian Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Foveation-based mechanisms alleviate adversarial examples
Yan Luo, Xavier Boix, Gemma Roig, Tomaso Poggio, and Qi Zhao · 2015
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Librispeech: An asr corpus based on public domain audio books
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur · 2015
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A study of the effect of jpg compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M Roy · 2016
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End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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Invariant representations for noisy speech recognition
Dmitriy Serdyuk, Kartik Audhkhasi, Philémon Brakel, Bhuvana Ramabhadran, Samuel Thomas, and Yoshua Bengio · 2016
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Using non-invertible data transformations to build adversarial-robust neural networks
Qinglong Wang, Wenbo Guo, II Ororbia, G Alexander, Xinyu Xing, Lin Lin, C Lee Giles, Xue Liu, Peng Liu, and Gang Xiong · 2016
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Houdini: Fooling deep structured prediction models
Moustapha Cisse, Yossi Adi, Natalia Neverova, and Joseph Keshet · 2017
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Robust speech recognition using generative adversarial networks
Anuroop Sriram, Heewoo Jun, Yashesh Gaur, and Sanjeev Satheesh · 2017
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Feature squeezing: Detecting adversarial examples in deep neural networks
Weilin Xu, David Evans, and Yanjun Qi · 2017
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Did you hear that? adversarial examples against automatic speech recognition
Moustafa Alzantot, Bharathan Balaji, and Mani Srivastava · 2018
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Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples
Anish Athalye, Nicholas Carlini, and David Wagner · 2018
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Audio adversarial examples: Targeted attacks on speech-to-text
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Chuan Guo, Mayank Rana, Moustapha Cissé, and Laurens van der Maaten · 2017
Cited alongside, same era.
Adversarial example defenses: Ensembles of weak defenses are not strong
Warren He, James Wei, Xinyun Chen, Nicholas Carlini, and Dawn Song · 2017
Cited alongside, same era.
Wei Ning Hsu, Yu Zhang, and James Glass · 2017
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Generating adversarial examples for speech recognition
Dan Iter, Jade Huang, and Mike Jermann · 2017
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Delving into transferable adversarial examples and black-box attacks
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song · 2017
Cited alongside, same era.
Magnet: a two-pronged defense against adversarial examples
Dongyu Meng and Hao Chen · 2017
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Daniel Michelsanti and Zheng-Hua Tan · 2017
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Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David Wagner
Cited in the paper.
Nicholas Carlini and David Wagner · 2018
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Fooling end-to-end speaker verification by adversarial examples
Felix Kreuk, Yossi Adi, Moustapha Cisse, and Joseph Keshet · 2018
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On the limitation of MagNet defense against L 1 {L_{1}} -based adversarial examples
Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, and Chia-Mu Yu · 2018
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Dong Su, Huan Zhang, Hongge Chen, Jinfeng Yi, Pin-Yu Chen, and Yupeng Gao · 2018
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Data augmentation with adversarial examples for robust speech recognition
Sining Sun, Ching-Feng Yeh, Mari Ostendorf, Mei-Yuh Hwang, and Lei Xie · 2018
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Speech commands: A dataset for limited-vocabulary speech recognition
Pete Warden · 2018
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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
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