![]() ![]() In: International conference on computer vision (ICCV) Rössler A, Cozzolino D, Verdoliva L, Riess C, Thies J, Nießner M (2019) FaceForensics++: Learning to detect manipulated facial images. In: 2017 IEEE Workshop on information forensics and security (WIFS), pp 1–6. Rahmouni N, Nozick V, Yamagishi J, Echizen I (2017) Distinguishing computer graphics from natural images using convolution neural networks. In: ICASSP 2019 - 2019 IEEE International conference on acoustics, speech and signal processing (ICASSP), pp 2307–2311 Nguyen H H, Yamagishi J, Echizen I (2019) Capsule-forensics: Using capsule networks to detect forged images and videos. In: Proceedings of the 6th ACM workshop on information hiding and multimedia security, IH&MMSec ’18, pp 43–47, Association for Computing Machinery, New York, NY, USA. Mo H, Chen B, Luo W (2018) Fake faces identification via convolutional neural network. In: 2019 IEEE Winter applications of computer vision workshops (WACVW), pp 83–92. Matern F, Riess C, Stamminger M (2019) Exploiting visual artifacts to expose deepfakes and face manipulations. In: IEEE Conference on computer vision and patten recognition (CVPR). Li Y, Sun P, Qi H, Lyu S (2020) Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics. In: IEEE Conference on computer vision and pattern recognition workshops (CVPRW) Li Y, Lyu S (2019) Exposing deepfake videos by detecting face warping artifacts. Li Y, Hu H, Zhu Z, Zhou G (2020) Scanet: Sensor-based continuous authentication with two-stream convolutional neural networks. In: 2018 IEEE International workshop on information forensics and security (WIFS), pp 1–7. Li Y, Chang M, Lyu S (2018) In ictu oculi: Exposing ai created fake videos by detecting eye blinking. ![]() Kim H, Garrido P, Tewari A, Xu W, Thies J, Niessner M, Pérez P, Richardt C, Zollhöfer M, Theobalt C (2018) Deep video portraits. In: 2018 International conference of the biometrics special interest group (BIOSIG), pp 1–6. Khodabakhsh A, Ramachandra R, Raja K, Wasnik P, Busch C (2018) Fake face detection methods: Can they be generalized?. In: 2018 IEEE International conference on networking, architecture and storage (NAS), pp 1–9 Hu H, Li Y, Zhu Z, Zhou G (2018) Cnnauth: Continuous authentication via two-stream convolutional neural networks. In: 2018 15Th IEEE international conference on advanced video and signal based surveillance (AVSS), pp 1–6, Güera D, Delp EJ (2018) Deepfake video detection using recurrent neural networks. philosophical transactions of the royal society of london. (2009) Role of facial expressions in social interactions. IEEE Trans Inform Forensics Secur 7(3):868–882. įridrich J, Kodovsky J (2012) Rich models for steganalysis of digital images. In: Proceedings of the 5th ACM workshop on information hiding and multimedia security, IH&MMSec ’17, pp 159–164, Association for Computing Machinery, New York, NY, USA. IEEE Access 6:64270–64277Ĭozzolino D, Poggi G, Verdoliva L (2017) Recasting residual-based local descriptors as convolutional neural networks: an application to image forgery detection. īianco S, Cadene R, Celona L, Napoletano P (2018) Benchmark analysis of representative deep neural network architectures. IEEE Access 8:45421–45431īayar B, Stamm M (2016) A deep learning approach to universal image manipulation detection using a new convolutional layer. In: 2018 IEEE International workshop on information forensics and security (WIFS), pp 1–7īaek J, Yoo Y, Bae S (2020) Generative adversarial ensemble learning for face forensics. For Classware, the installer file is common to all levels.Afchar D, Nozick V, Yamagishi J, Echizen I (2018) Mesonet: a compact facial video forgery detection network. For the Student's CD-ROM, please make sure you use the installer file for the appropriate level or the installation will not work. The links below provide installer files for each level which you must download to your desktop, together with instructions to resolve this problem. Try obtaining a new installer file from the application author" The application could not be installed because the installer file is damaged. During the installation of the Student's CD-ROM/DVD-ROM or Classware CD-ROM (Interactive Whiteboard Software) for face2face you might have received the following error message: ![]()
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