Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks
暂无分享,去创建一个
Shie Mannor | Itay Naeh | Roi Pony | Shie Mannor | I. Naeh | Roi Pony
[1] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[2] James Bailey,et al. Black-box Adversarial Attacks on Video Recognition Models , 2019, ACM Multimedia.
[3] Herschel Rabitz,et al. Targeted Nonlinear Adversarial Perturbations in Images and Videos , 2018, ArXiv.
[4] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Andrew W. Senior,et al. Long short-term memory recurrent neural network architectures for large scale acoustic modeling , 2014, INTERSPEECH.
[6] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Lei Wang,et al. Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks , 2018, IEEE Access.
[8] Ananthram Swami,et al. The Limitations of Deep Learning in Adversarial Settings , 2015, 2016 IEEE European Symposium on Security and Privacy (EuroS&P).
[9] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[10] Xiaogang Wang,et al. Deep Learning Face Representation by Joint Identification-Verification , 2014, NIPS.
[11] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Yiran Chen,et al. Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers , 2018, ArXiv.
[13] Jitendra Malik,et al. SlowFast Networks for Video Recognition , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[14] Mubarak Shah,et al. Real-World Anomaly Detection in Surveillance Videos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Samy Bengio,et al. Adversarial Machine Learning at Scale , 2016, ICLR.
[17] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[18] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Cordelia Schmid,et al. Long-Term Temporal Convolutions for Action Recognition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[23] Abhinav Gupta,et al. Non-local Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Tat-Seng Chua,et al. Heuristic Black-Box Adversarial Attacks on Video Recognition Models , 2019, AAAI 2020.
[25] Shie Mannor,et al. Flickering Adversarial Attacks against Video Recognition Networks , 2020 .
[26] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Amit K. Roy-Chowdhury,et al. Adversarial Perturbations Against Real-Time Video Classification Systems , 2018, NDSS.
[28] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[29] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[30] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[31] Fabio Viola,et al. The Kinetics Human Action Video Dataset , 2017, ArXiv.
[32] David A. Wagner,et al. Towards Evaluating the Robustness of Neural Networks , 2016, 2017 IEEE Symposium on Security and Privacy (SP).
[33] Hang Su,et al. Sparse Adversarial Perturbations for Videos , 2018, AAAI.
[34] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[35] Yann LeCun,et al. A Closer Look at Spatiotemporal Convolutions for Action Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.