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The popularity of ASR (automatic speech recognition) systems, like Google Voice, Cortana, brings in security concerns, as demonstrated by recent attacks.
Line spectrum representation of linear predictor coefficients of speech signals
Fumitada Itakura · 1975
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Spearman rank correlation coefficient
W Pirie · 1988
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Perceptual linear predictive (plp) analysis of speech
Hynek Hermansky · 1990
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Spoofing and anti-spoofing measures
Stephanie AC Schuckers · 2002
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Adversarial classification
Nilesh Dalvi, Pedro Domingos, Sumit Sanghai, Deepak Verma, et al · 2004
Earlier work this paper cites.
Automatic speech recognition: History, methods and challenges
Douglas O’Shaughnessy · 2008
Earlier work this paper cites.
A liveness detection method for face recognition based on optical flow field
Wei Bao, Hong Li, Nan Li, and Wei Jiang · 2009
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Voice recognition algorithms using mel frequency cepstral coefficient (mfcc) and dynamic time warping (dtw) techniques
Lindasalwa Muda, Mumtaj Begam, and Irraivan Elamvazuthi · 2010
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Fusion of multiple clues for photo-attack detection in face recognition systems
Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, Gabriele Murgia, Marco Ristori, Sardegna Ricerche, and Fabio Roli · 2011
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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al · 2012
Earlier work this paper cites.
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al · 2012
Earlier work this paper cites.
Evasion attacks against machine learning at test time
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli · 2013
Earlier work this paper cites.
Ghost talk: Mitigating emi signal injection attacks against analog sensors
Denis Foo Kune, John Backes, Shane S Clark, Daniel Kramer, Matthew Reynolds, Kevin Fu, Yongdae Kim, and Wenyuan Xu · 2013
Earlier work this paper cites.
Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
Cited alongside, same era.
Your voice assistant is mine: How to abuse speakers to steal information and control your phone
Wenrui Diao, Xiangyu Liu, Zhe Zhou, and Kehuan Zhang · 2014
Cited alongside, same era.
Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2014
Cited alongside, same era.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Cited alongside, same era.
Iemi threats for information security: Remote command injection on modern smartphones
Chaouki Kasmi and Jose Lopes Esteves · 2015
Cited alongside, same era.
https://www.statista.com/statistics/255778/number-of-active-wechat-messenger-accounts/
2017
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Adversarial patch
Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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Adversarial example defenses: Ensembles of weak defenses are not strong
Warren He, James Wei, Xinyun Chen, Nicholas Carlini, and Dawn Song · 2017
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Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
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Exploring architectures, data and units for streaming end-to-end speech recognition with rnn-transducer
Kanishka Rao, Haşim Sak, and Rohit Prabhavalkar · 2017
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The microsoft 2016 conversational speech recognition system
Wayne Xiong, Jasha Droppo, Xuedong Huang, Frank Seide, Mike Seltzer, Andreas Stolcke, Dong Yu, and Geoffrey Zweig · 2017
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Dibya Mukhopadhyay, Maliheh Shirvanian, and Nitesh Saxena · 2015
Cited alongside, same era.
Cocaine noodles: exploiting the gap between human and machine speech recognition
Tavish Vaidya, Yuankai Zhang, Micah Sherr, and Clay Shields · 2015
Cited alongside, same era.
Deep speech 2: End-to-end speech recognition in english and mandarin
Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, et al · 2016
Cited alongside, same era.
Hidden voice commands
Nicholas Carlini, Pratyush Mishra, Tavish Vaidya, Yuankai Zhang, Micah Sherr, Clay Shields, David Wagner, and Wenchao Zhou · 2016
Cited alongside, same era.
Wav2letter: an end-to-end convnet-based speech recognition system
Ronan Collobert, Christian Puhrsch, and Gabriel Synnaeve · 2016
Cited alongside, same era.
Adversarial examples in the physical world
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
Cited alongside, same era.
cleverhans v2. 0.0: an adversarial machine learning library
Nicolas Papernot, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Fartash Faghri, Alexander Matyasko, Karen Hambardzumyan, Yi-Lin Juang, Alexey Kurakin, Ryan Sheatsley, et al · 2016
Cited alongside, same era.
Later among the works it cites.
Dolphinattack: Inaudible voice commands
Guoming Zhang, Chen Yan, Xiaoyu Ji, Tianchen Zhang, Taimin Zhang, and Wenyuan Xu · 2017
Later among the works it cites.
Building competitive direct acoustics-to-word models for english conversational speech recognition
Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, and Michael Picheny · 2018
Closest in time.
Audio adversarial examples: Targeted attacks on speech-to-text
Nicholas Carlini and David Wagner · 2018
Closest in time.
Robust physical-world attacks on deep learning models
Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, Tadayoshi Kohno, Bo Li, Atul Prakash, Amir Rahmati, and Dawn Song · 2018
Closest in time.
BEBP: an poisoning method against machine learning based idss
Pan Li, Qiang Liu, Wentao Zhao, Dongxu Wang, and Siqi Wang · 2018
Closest in time.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Closest in time.