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Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control.
Fighting deepfakes by detecting GAN DCT anomalies
Oliver Giudice, Luca Guarnera, and Sebastiano Battiato · 1909
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FaceShifter: Towards high fidelity and occlusion aware face swapping
Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen · 1912
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The expectation-maximization algorithm
Todd K Moon · 1996
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Authentication theory and hypothesis testing
Ueli M Maurer · 2000
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Learning a similarity metric discriminatively, with application to face verification
Sumit Chopra, Raia Hadsell, and Yann LeCun · 2005
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller · 2007
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Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
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Learning realistic human actions from movies
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, and Benjamin Rozenfeld · 2008
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Image forgery detection
Hany Farid · 2009
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A study of the robustness of PRNU-based camera identification
Kurt Rosenfeld and Husrev Taha Sencar · 2009
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Transforming auto-encoders
Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang · 2011
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Color-decoupled photo response non-uniformity for digital image forensics
Chang-Tsun Li and Yue Li · 2011
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On the effectiveness of local binary patterns in face anti-spoofing
Ivana Chingovska, André Anjos, and Sébastien Marcel · 2012
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Auto-encoding variational Bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Face anti-spoofing based on general image quality assessment
Javier Galbally and Sébastien Marcel · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, and Brendan Frey · 2015
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Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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FaceNet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
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Deep learning for steganalysis via convolutional neural networks
Yinlong Qian, Jing Dong, Wei Wang, and Tieniu Tan · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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ImageNet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Long-term recurrent convolutional networks for visual recognition and description
Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Face2Face: Real-time face capture and reenactment of RGB videos
Justus Thies, Michael Zollhofer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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Recapture image forensics based on laplacian convolutional neural networks
Pengpeng Yang, Rongrong Ni, and Yao Zhao · 2016
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A deep learning approach to universal image manipulation detection using a new convolutional layer
Belhassen Bayar and Matthew C Stamm · 2016
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Siamese multi-layer perceptrons for dimensionality reduction and face identification
Lilei Zheng, Stefan Duffner, Khalid Idrissi, Christophe Garcia, and Atilla Baskurt · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Large-scale image clustering based on camera fingerprints
Xufeng Lin and Chang-Tsun Li · 2016
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Progressive growing of GANs for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Lip reading sentences in the wild
Joon Son Chung, Andrew Senior, Oriol Vinyals, and Andrew Zisserman · 2017
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Synthesizing Obama: learning lip sync from audio
Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
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Automated face swapping and its detection
Ying Zhang, Lilei Zheng, and Vrizlynn LL Thing · 2017
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Gaze latent support vector machine for image classification improved by weakly supervised region selection
Xin Wang, Nicolas Thome, and Matthieu Cord · 2017
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Growing random forest on deep convolutional neural networks for scene categorization
Shuang Bai · 2017
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Fast face-swap using convolutional neural networks
Iryna Korshunova, Wenzhe Shi, Joni Dambre, and Lucas Theis · 2017
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Improved training of Wasserstein GANs
Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, and Aaron Courville · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond YK Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry S Davis · 2017
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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Distinguishing computer graphics from natural images using convolution neural networks
Nicolas Rahmouni, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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A fast forgery detection algorithm based on exponential-Fourier moments for video region duplication
Lichao Su, Cuihua Li, Yuecong Lai, and Jianmei Yang · 2017
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High-fidelity monocular face reconstruction based on an unsupervised model-based face autoencoder
Ayush Tewari, Michael Zollhoefer, Florian Bernard, Pablo Garrido, Hyeongwoo Kim, Patrick Perez, and Christian Theobalt · 2018
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Detecting ’deepfake’ videos in the blink of an eye
Siwei Lyu · 2018
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How faking videos became easy and why that’s so scary
Bloomberg · 2018
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Large scale GAN training for high fidelity natural image synthesis
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2018
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Spectral normalization for generative adversarial networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
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Fake faces identification via convolutional neural network
Huaxiao Mo, Bolin Chen, and Weiqi Luo · 2018
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Detection of GAN-generated fake images over social networks
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, and Luisa Verdoliva · 2018
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Learning to detect fake face images in the wild
Chih-Chung Hsu, Chia-Yen Lee, and Yi-Xiu Zhuang · 2018
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Glow: generative flow with invertible 1 × \times 1 convolutions
Diederik P Kingma and Prafulla Dhariwal · 2018
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MesoNet: a compact facial video forgery detection network
Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
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Detection of face morphing attacks based on PRNU analysis
Ulrich Scherhag, Luca Debiasi, Christian Rathgeb, Christoph Busch, and Andreas Uhl · 2019
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Combating deepfake videos using blockchain and smart contracts
Haya R Hasan and Khaled Salah · 2019
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ASVspoof 2019: Future horizons in spoofed and fake audio detection
Massimiliano Todisco, Xin Wang, Ville Vestman, Md Sahidullah, Héctor Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Tomi Kinnunen, and Kong Aik Lee · 2019
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Text-based editing of talking-head video
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, and Maneesh Agrawala · 2019
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Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
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Deepfake video detection using recurrent neural networks
David Güera and Edward J Delp · 2018
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In ictu oculi: Exposing ai created fake videos by detecting eye blinking
Yuezun Li, Ming-Ching Chang, and Siwei Lyu · 2018
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Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2018
Cited alongside, same era.
FaceForensics: A large-scale video dataset for forgery detection in human faces
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2018
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Detection of deepfake video manipulation
Marissa Koopman, Andrea Macarulla Rodriguez, and Zeno Geradts · 2018
Cited alongside, same era.
Accurate and scalable image clustering based on sparse representation of camera fingerprint
Quoc-Tin Phan, Giulia Boato, and Francesco GB De Natale · 2018
Cited alongside, same era.
Attribution-based confidence metric for deep neural networks
Susmit Jha, Sunny Raj, Steven Fernandes, Sumit K Jha, Somesh Jha, Brian Jalaian, Gunjan Verma, and Ananthram Swami · 2019
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Predicting heart rate variations of deepfake videos using neural ODE
Steven Fernandes, Sunny Raj, Eddy Ortiz, Iustina Vintila, Margaret Salter, Gordana Urosevic, and Sumit Jha · 2019
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Image-to-image translation via group-wise deep whitening-and-coloring transformation
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, and Jaegul Choo · 2019
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AttGAN: Facial attribute editing by only changing what you want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
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Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
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Incremental learning for the detection and classification of gan-generated images
Francesco Marra, Cristiano Saltori, Giulia Boato, and Luisa Verdoliva · 2019
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Can you spot a deepfake? does it matter?
M. Read · 2019
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Determining authenticity of video evidence in the age of artificial intelligence and in the wake of deepfake videos
Marie-Helen Maras and Alex Alexandrou · 2019
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Deepfakes: A grounded threat assessment
T. Hwang · 2020
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani · 2020
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The future of false information detection on social media: New perspectives and trends
Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, and Zhiwen Yu · 2020
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Media forensics and deepfakes: an overview
Luisa Verdoliva · 2020
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Deepfake detection: Current challenges and next steps
Siwei Lyu · 2020
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Forensics and analysis of deepfake videos
Mousa Tayseer Jafar, Mohammad Ababneh, Mohammad Al-Zoube, and Ammar Elhassan · 2020
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Effective and fast deepfake detection method based on haar wavelet transform
Mohammed Akram Younus and Taha Mohammed Hasan · 2020
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Deepfakes and beyond: A survey of face manipulation and fake detection
Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, and Javier Ortega-Garcia · 2020
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AvatarMe: Realistically renderable 3D facial reconstruction “in-the-wild"
Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, and Stefanos Zafeiriou · 2020
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Marionette: Few-shot face reenactment preserving identity of unseen targets
Sungjoo Ha, Martin Kersner, Beomsu Kim, Seokjun Seo, and Dongyoung Kim · 2020
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Disentangled and controllable face image generation via 3D imitative-contrastive learning
Yu Deng, Jiaolong Yang, Dong Chen, Fang Wen, and Xin Tong · 2020
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StyleRig: Rigging StyleGAN for 3D control over portrait images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhofer, and Christian Theobalt · 2020
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Neural voice puppetry: Audio-driven facial reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, and Matthias Nießner · 2020
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Deepfake detection using spatiotemporal convolutional networks
Oscar de Lima, Sean Franklin, Shreshtha Basu, Blake Karwoski, and Annet George · 2020
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Exploiting prediction error inconsistencies through LSTM-based classifiers to detect deepfake videos
Irene Amerini and Roberto Caldelli · 2020
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Deep fake image detection based on pairwise learning
Chih-Chung Hsu, Yi-Xiu Zhuang, and Chia-Yen Lee · 2020
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The deepfake detection challenge dataset
Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, and Cristian Canton Ferrer · 2020
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DeeperForensics-1.0: A large-scale dataset for real-world face forgery detection
Liming Jiang, Ren Li, Wayne Wu, Chen Qian, and Chen Change Loy · 2020
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Recurrent convolutional structures for audio spoof and video deepfake detection
Akash Chintha, Bao Thai, Saniat Javid Sohrawardi, Kartavya Bhatt, Andrea Hickerson, Matthew Wright, and Raymond Ptucha · 2020
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Detecting deepfake videos using attribution-based confidence metric
Steven Fernandes, Sunny Raj, Rickard Ewetz, Jodh Singh Pannu, Sumit Kumar Jha, Eddy Ortiz, Iustina Vintila, and Margaret Salter · 2020
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FakeCatcher: Detection of synthetic portrait videos using biological signals
Umur Aybars Ciftci, Ilke Demir, and Lijun Yin · 2020
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Emotions don’t lie: A deepfake detection method using audio-visual affective cues
Trisha Mittal, Uttaran Bhattacharya, Rohan Chandra, Aniket Bera, and Dinesh Manocha · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Adversarial perturbations fool deepfake detectors
Apurva Gandhi and Shomik Jain · 2020
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CNN-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
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Evading deepfake-image detectors with white-and black-box attacks
Nicholas Carlini and Hany Farid · 2020
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Disrupting image-translation-based deepfake algorithms with adversarial attacks
Chin-Yuan Yeh, Hsi-Wen Chen, Shang-Lun Tsai, and Sheng-De Wang · 2020
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Explainable deep-fake detection using visual interpretability methods
Badhrinarayan Malolan, Ankit Parekh, and Faruk Kazi · 2020
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FPGAN: Face de-identification method with generative adversarial networks for social robots
Jiacheng Lin, Yang Li, and Guanci Yang · 2021
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Generative adversarial networks for image and video synthesis: Algorithms and applications
Ming-Yu Liu, Xun Huang, Jiahui Yu, Ting-Chun Wang, and Arun Mallya · 2021
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Deepfake: improving fake news detection using tensor decomposition-based deep neural network
Rohit Kumar Kaliyar, Anurag Goswami, and Pratik Narang · 2021
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The creation and detection of deepfakes: A survey
Yisroel Mirsky and Wenke Lee · 2021
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Interpretable and trustworthy deepfake detection via dynamic prototypes
Loc Trinh, Michael Tsang, Sirisha Rambhatla, and Yan Liu · 2021
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Blind detection of glow-based facial forgery
Zhiqing Guo, Lipin Hu, Ming Xia, and Gaobo Yang · 2021
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Learning self-consistency for deepfake detection
Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, and Wei Xia · 2021
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Optical flow based CNN for detection of unlearnt deepfake manipulations
Roberto Caldelli, Leonardo Galteri, Irene Amerini, and Alberto Del Bimbo · 2021
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Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples
Shehzeen Hussain, Paarth Neekhara, Malhar Jere, Farinaz Koushanfar, and Julian McAuley · 2021
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Defending against gan-based deepfake attacks via transformation-aware adversarial faces
Chaofei Yang, Leah Ding, Yiran Chen, and Hai Li · 2021
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