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[1] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[2] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[3] Philip H. S. Torr,et al. On the Robustness of Semantic Segmentation Models to Adversarial Attacks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Katya Scheinberg,et al. Introduction to derivative-free optimization , 2010, Math. Comput..
[5] David A. Wagner,et al. Towards Evaluating the Robustness of Neural Networks , 2016, 2017 IEEE Symposium on Security and Privacy (SP).
[6] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[7] Peter J. Fleming,et al. Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization , 1993, ICGA.
[8] Charles Audet,et al. Blackbox and derivative-free optimization: theory, algorithms and applications , 2016 .
[9] Dawn Xiaodong Song,et al. Adversarial Examples for Generative Models , 2017, 2018 IEEE Security and Privacy Workshops (SPW).
[10] Ananthram Swami,et al. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples , 2016, ArXiv.
[11] Micah Sherr,et al. Hidden Voice Commands , 2016, USENIX Security Symposium.
[12] Romit Roy Choudhury,et al. BackDoor: Making Microphones Hear Inaudible Sounds , 2017, MobiSys.
[13] Mani B. Srivastava,et al. Did you hear that? Adversarial Examples Against Automatic Speech Recognition , 2018, ArXiv.
[14] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[15] Sharath Pankanti,et al. BIOMETRIC IDENTIFICATION , 2000 .
[16] Eduardo Valle,et al. Exploring the space of adversarial images , 2015, 2016 International Joint Conference on Neural Networks (IJCNN).
[17] Erich Elsen,et al. Deep Speech: Scaling up end-to-end speech recognition , 2014, ArXiv.
[18] Dan Iter,et al. Generating Adversarial Examples for Speech Recognition , 2017 .
[19] Pan He,et al. Adversarial Examples: Attacks and Defenses for Deep Learning , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[20] Wenyuan Xu,et al. DolphinAttack: Inaudible Voice Commands , 2017, CCS.
[21] C. K. Yuen,et al. Theory and Application of Digital Signal Processing , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[22] John B. Shoven,et al. I , Edinburgh Medical and Surgical Journal.
[23] David A. Wagner,et al. Audio Adversarial Examples: Targeted Attacks on Speech-to-Text , 2018, 2018 IEEE Security and Privacy Workshops (SPW).
[24] Nikita Vemuri,et al. Targeted Adversarial Examples for Black Box Audio Systems , 2018, 2019 IEEE Security and Privacy Workshops (SPW).
[25] Abraham Kandel,et al. Effective Black-Box Testing with Genetic Algorithms , 2005, Haifa Verification Conference.
[26] Fabio Roli,et al. Evasion Attacks against Machine Learning at Test Time , 2013, ECML/PKDD.
[27] Tsuyoshi Murata,et al. {m , 1934, ACML.
[28] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[29] Moustapha Cissé,et al. Houdini: Fooling Deep Structured Prediction Models , 2017, ArXiv.
[30] Peter J. Fleming,et al. An Overview of Evolutionary Algorithms in Multiobjective Optimization , 1995, Evolutionary Computation.