Obstructing DeepFakes by Disrupting Face Detection and Facial Landmarks Extraction
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[1] Siwei Lyu,et al. In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking , 2018, 2018 IEEE International Workshop on Information Forensics and Security (WIFS).
[2] Justus Thies,et al. Face2Face: Real-Time Face Capture and Reenactment of RGB Videos , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Alexei A. Efros,et al. Everybody Dance Now , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[4] Dawn Song,et al. Physical Adversarial Examples for Object Detectors , 2018, WOOT @ USENIX Security Symposium.
[5] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[6] Yici Cai,et al. Look at Boundary: A Boundary-Aware Face Alignment Algorithm , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[8] Alan L. Yuille,et al. Improving Transferability of Adversarial Examples With Input Diversity , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Li-Jia Li,et al. Multi-view Face Detection Using Deep Convolutional Neural Networks , 2015, ICMR.
[10] Carlos D. Castillo,et al. UMDFaces: An annotated face dataset for training deep networks , 2016, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[11] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Joan Bruna,et al. Intriguing properties of neural networks , 2013, ICLR.
[13] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[14] Rama Chellappa,et al. HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Xu Tang,et al. PyramidBox: A Context-assisted Single Shot Face Detector , 2018, ECCV.
[16] Jiajun Lu,et al. Adversarial Examples that Fool Detectors , 2017, ArXiv.
[17] Luc Van Gool,et al. Pose Guided Person Image Generation , 2017, NIPS.
[18] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[19] Ananthram Swami,et al. The Limitations of Deep Learning in Adversarial Settings , 2015, 2016 IEEE European Symposium on Security and Privacy (EuroS&P).
[20] Junichi Yamagishi,et al. MesoNet: a Compact Facial Video Forgery Detection Network , 2018, 2018 IEEE International Workshop on Information Forensics and Security (WIFS).
[21] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[22] Shuo Yang,et al. From Facial Parts Responses to Face Detection: A Deep Learning Approach , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[23] Patrick Pérez,et al. Deep video portraits , 2018, ACM Trans. Graph..
[24] Christian Riess,et al. Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations , 2019, 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW).
[25] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[26] Dong Liu,et al. Deep High-Resolution Representation Learning for Human Pose Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Chenxi Liu,et al. Adversarial Attacks Beyond the Image Space , 2017, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[30] Seong Joon Oh,et al. Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Chen Qian,et al. ReenactGAN: Learning to Reenact Faces via Boundary Transfer , 2018, ECCV.
[32] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[33] Larry S. Davis,et al. SSH: Single Stage Headless Face Detector , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[34] Tao Wang,et al. Face detection using SURF cascade , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[35] Carlos D. Castillo,et al. An All-In-One Convolutional Neural Network for Face Analysis , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[36] Stefanos Zafeiriou,et al. 300 Faces in-the-Wild Challenge: The First Facial Landmark Localization Challenge , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[37] Aaron C. Courville,et al. Improved Training of Wasserstein GANs , 2017, NIPS.
[38] Jiaya Jia,et al. Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[39] Jiahuan Zhou,et al. Learning Robust Facial Landmark Detection via Hierarchical Structured Ensemble , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[40] Qiang Xu,et al. Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks , 2018, AAAI.
[41] 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.
[42] Samy Bengio,et al. Adversarial examples in the physical world , 2016, ICLR.
[43] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Shifeng Zhang,et al. S^3FD: Single Shot Scale-Invariant Face Detector , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[45] Ian S. Fischer,et al. Learning to Attack: Adversarial Transformation Networks , 2018, AAAI.
[46] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Steven C. H. Hoi,et al. Face Detection using Deep Learning: An Improved Faster RCNN Approach , 2017, Neurocomputing.
[48] Wojciech Zaremba,et al. Improved Techniques for Training GANs , 2016, NIPS.
[49] Jan Kautz,et al. Unsupervised Image-to-Image Translation Networks , 2017, NIPS.
[50] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[51] Xin Yang,et al. Exposing Deep Fakes Using Inconsistent Head Poses , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[52] Siwei Lyu,et al. Robust Adversarial Perturbation on Deep Proposal-based Models , 2018, BMVC.
[53] David A. Wagner,et al. Towards Evaluating the Robustness of Neural Networks , 2016, 2017 IEEE Symposium on Security and Privacy (SP).
[54] Edward J. Delp,et al. Deepfake Video Detection Using Recurrent Neural Networks , 2018, 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[55] Weiming Zhang,et al. Protecting Privacy in Shared Photos via Adversarial Examples Based Stealth , 2017, Secur. Commun. Networks.
[56] Bin Yang,et al. Convolutional Channel Features , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[57] Tianqing Zhu,et al. Using Adversarial Noises to Protect Privacy in Deep Learning Era , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).
[58] Shuo Yang,et al. WIDER FACE: A Face Detection Benchmark , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Georgios Tzimiropoulos,et al. How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks) , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[60] Ira Kemelmacher-Shlizerman,et al. Synthesizing Obama , 2017, ACM Trans. Graph..
[61] Rama Chellappa,et al. A deep pyramid Deformable Part Model for face detection , 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).
[62] Seyed-Mohsen Moosavi-Dezfooli,et al. Universal Adversarial Perturbations , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[64] Qingming Huang,et al. Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network , 2018, AAAI.