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[1] Rainer Böhme,et al. Counter-Forensics: Attacking Image Forensics , 2013 .
[2] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[3] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[5] Andrea Vedaldi,et al. Understanding deep image representations by inverting them , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Jonathon Shlens,et al. Explaining and Harnessing Adversarial Examples , 2014, ICLR.
[9] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[10] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Mahadev Satyanarayanan,et al. OpenFace: A general-purpose face recognition library with mobile applications , 2016 .
[12] François Chollet,et al. Xception: Deep Learning with Depthwise Separable Convolutions , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Junfeng Yang,et al. DeepXplore: Automated Whitebox Testing of Deep Learning Systems , 2017, SOSP.
[14] Alexei A. Efros,et al. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[15] Ping Tan,et al. DualGAN: Unsupervised Dual Learning for Image-to-Image Translation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Scott McCloskey,et al. Detecting GAN-generated Imagery using Color Cues , 2018, ArXiv.
[17] Chia-Yen Lee,et al. Learning to Detect Fake Face Images in the Wild , 2018, 2018 International Symposium on Computer, Consumer and Control (IS3C).
[18] Jung-Woo Ha,et al. StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Xiangyu Zhang,et al. Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples , 2018, NeurIPS.
[20] 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).
[21] Hyeonjoon Moon,et al. Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network , 2018, Applied Sciences.
[22] Bolin Chen,et al. Fake Faces Identification via Convolutional Neural Network , 2018, IH&MMSec.
[23] Sébastien Marcel,et al. DeepFakes: a New Threat to Face Recognition? Assessment and Detection , 2018, ArXiv.
[24] Jaakko Lehtinen,et al. Progressive Growing of GANs for Improved Quality, Stability, and Variation , 2017, ICLR.
[25] Bin Li,et al. Detection of Deep Network Generated Images Using Disparities in Color Components , 2018, ArXiv.
[26] Lei Ma,et al. DeepMutation: Mutation Testing of Deep Learning Systems , 2018, 2018 IEEE 29th International Symposium on Software Reliability Engineering (ISSRE).
[27] Andrew Owens,et al. Fighting Fake News: Image Splice Detection via Learned Self-Consistency , 2018, ECCV.
[28] Larry S. Davis,et al. Learning Rich Features for Image Manipulation Detection , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[29] Suman Jana,et al. DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).
[30] Lei Ma,et al. DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems , 2018, 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[31] Xu Zhang,et al. Detecting and Simulating Artifacts in GAN Fake Images , 2019, 2019 IEEE International Workshop on Information Forensics and Security (WIFS).
[32] Mario Fritz,et al. Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[33] Siwei Lyu,et al. Exposing DeepFake Videos By Detecting Face Warping Artifacts , 2018, CVPR Workshops.
[34] Honggang Qi,et al. Celeb-DF: A New Dataset for DeepFake Forensics , 2019, ArXiv.
[35] B. S. Manjunath,et al. Detecting GAN generated Fake Images using Co-occurrence Matrices , 2019, Media Watermarking, Security, and Forensics.
[36] Wen-Chuan Lee,et al. NIC: Detecting Adversarial Samples with Neural Network Invariant Checking , 2019, NDSS.
[37] Simon S. Woo,et al. GAN is a friend or foe?: a framework to detect various fake face images , 2019, SAC.
[38] Lei Ma,et al. DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems , 2019, 2019 IEEE 26th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[39] Lei Ma,et al. DeepHunter: a coverage-guided fuzz testing framework for deep neural networks , 2019, ISSTA.
[40] Andrew Owens,et al. Detecting Photoshopped Faces by Scripting Photoshop , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[41] Hao Li,et al. Protecting World Leaders Against Deep Fakes , 2019, CVPR Workshops.
[42] Andreas Rössler,et al. FaceForensics++: Learning to Detect Manipulated Facial Images , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[43] 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).
[44] Jianjun Zhao,et al. DeepStellar: model-based quantitative analysis of stateful deep learning systems , 2019, ESEC/SIGSOFT FSE.
[45] V. Lempitsky,et al. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[46] 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).
[47] Haijun Wang,et al. DiffChaser: Detecting Disagreements for Deep Neural Networks , 2019, IJCAI.
[48] Alexei A. Efros,et al. CNN-Generated Images Are Surprisingly Easy to Spot… for Now , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[49] Tero Karras,et al. Analyzing and Improving the Image Quality of StyleGAN , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[50] A. Morales,et al. DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection , 2020, Inf. Fusion.
[51] Anil K. Jain,et al. On the Detection of Digital Face Manipulation , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Bolei Zhou,et al. Interpreting the Latent Space of GANs for Semantic Face Editing , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).