Fast speech adversarial example generation for keyword spotting system with conditional GAN
暂无分享,去创建一个
Rangding Wang | Diqun Yan | Li Dong | Donghua Wang | Rangding Wang | Diqun Yan | Donghua Wang | Li Dong
[1] Ruidong Li,et al. Generative adversarial networks enhanced location privacy in 5G networks , 2020, Science China Information Sciences.
[2] Yonghong Tian,et al. GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems , 2020, IEEE Transactions on Network Science and Engineering.
[3] Tetsuya Shimamura,et al. Advances in Audio Watermarking Based on Singular Value Decomposition , 2015 .
[4] Yue Zhao,et al. CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition , 2018, USENIX Security Symposium.
[5] Wei Wei,et al. An Attention-Based Deep Learning Framework for Trip Destination Prediction of Sharing Bike , 2021, IEEE Transactions on Intelligent Transportation Systems.
[6] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[7] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Antonio Bonafonte,et al. SEGAN: Speech Enhancement Generative Adversarial Network , 2017, INTERSPEECH.
[9] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[10] Li Dong,et al. Anti-Forensics of Audio Source Identification Using Generative Adversarial Network , 2019, IEEE Access.
[11] Ping Yu,et al. Generating Adversarial Examples With Conditional Generative Adversarial Net , 2018, 2018 24th International Conference on Pattern Recognition (ICPR).
[12] Xiping Hu,et al. Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition , 2020, Information Sciences.
[13] Samy Bengio,et al. Adversarial examples in the physical world , 2016, ICLR.
[14] Li Dong,et al. Targeted Speech Adversarial Example Generation With Generative Adversarial Network , 2020, IEEE Access.
[15] Shuicheng Yan,et al. Dual Path Networks , 2017, NIPS.
[16] Mingyan Liu,et al. Generating Adversarial Examples with Adversarial Networks , 2018, IJCAI.
[17] Nikos Komodakis,et al. Wide Residual Networks , 2016, BMVC.
[18] Raymond Y. K. Lau,et al. Least Squares Generative Adversarial Networks , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[19] Yifan Gong,et al. Adversarial Speaker Verification , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[20] Yong Yu,et al. Efficient Architecture Search by Network Transformation , 2017, AAAI.
[21] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[22] Yang Song,et al. Constructing Unrestricted Adversarial Examples with Generative Models , 2018, NeurIPS.
[23] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[24] Hyunsoo Yoon,et al. Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System , 2020, IEEE Transactions on Information Forensics and Security.
[25] Dawn Xiaodong Song,et al. Differentiable Neural Network Architecture Search , 2018, ICLR.
[26] David A. Wagner,et al. Audio Adversarial Examples: Targeted Attacks on Speech-to-Text , 2018, 2018 IEEE Security and Privacy Workshops (SPW).
[27] Jian Liu,et al. Enabling Fast and Universal Audio Adversarial Attack Using Generative Model , 2020, AAAI.
[28] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[29] Yang Liu,et al. Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems , 2019, ArXiv.
[30] Chris Donahue,et al. Adversarial Audio Synthesis , 2018, ICLR.
[31] Wanlei Zhou,et al. GAN-DP: Generative Adversarial Net Driven Differentially Privacy-Preserving Big Data Publishing , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).
[32] Ying Tan,et al. Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN , 2017, DMBD.
[33] Bernt Schiele,et al. Generative Adversarial Text to Image Synthesis , 2016, ICML.
[34] Mani B. Srivastava,et al. Did you hear that? Adversarial Examples Against Automatic Speech Recognition , 2018, ArXiv.
[35] Efficient Generation of Speech Adversarial Examples with Generative Model , 2020, IWDW.
[36] Farinaz Koushanfar,et al. Universal Adversarial Perturbations for Speech Recognition Systems , 2019, INTERSPEECH.
[37] Phalguni Gupta,et al. A perceptible watermarking algorithm for audio signals , 2011, Multimedia Tools and Applications.
[38] Jinxin Liu,et al. A probabilistic risk assessment framework considering lane-changing behavior interaction , 2020, Science China Information Sciences.
[39] Bob L. Sturm,et al. Deep Learning and Music Adversaries , 2015, IEEE Transactions on Multimedia.
[40] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[41] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Colin Raffel,et al. Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition , 2019, ICML.
[43] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[46] Quoc V. Le,et al. Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.
[47] Jonathon Shlens,et al. Conditional Image Synthesis with Auxiliary Classifier GANs , 2016, ICML.
[48] Ting Wang,et al. SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems , 2019, AsiaCCS.