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Recent advances in video manipulation techniques have made the generation of fake videos more accessible than ever before.
Exposing digital forgeries in interlaced and deinterlaced video
Weihong Wang and Hany Farid · 2007
Earlier work this paper cites.
Counter-forensics: Attacking image forensics
Rainer Böhme and Matthias Kirchner · 2013
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Digital image forensics: There is more to a picture than meets the eye, chapter counter-forensics: Attacking image forensics, 2013
R Bohme and M Kirchner · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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Natural evolution strategies
Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, and Jürgen Schmidhuber · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
A study of the effect of jpg compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M Roy · 2016
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Photo Forensics
Hany Farid · 2016
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Adversarial examples in the physical world
Alexey Kurakin, Ian Goodfellow, and Samy Bengio · 2016
Earlier work this paper cites.
The limitations of deep learning in adversarial settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z Berkay Celik, and Ananthram Swami · 2016
Earlier work this paper cites.
Distillation as a defense to adversarial perturbations against deep neural networks
Nicolas Papernot, Patrick McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami · 2016
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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
Earlier work this paper cites.
Joint face detection and alignment using multitask cascaded convolutional networks
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao · 2016
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Exploiting spatial structure for localizing manipulated image regions
Jawadul H Bappy, Amit K Roy-Chowdhury, Jason Bunk, Lakshmanan Nataraj, and BS Manjunath · 2017
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E Kounavis, and Duen Horng Chau · 2017
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Countering adversarial images using input transformations
Chuan Guo, Mayank Rana, Moustapha Cisse, and Laurens Van Der Maaten · 2017
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Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, and Pascal Frossard · 2017
Cited alongside, same era.
Practical black-box attacks against machine learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z Berkay Celik, and Ananthram Swami · 2017
Cited alongside, same era.
Transferable deep-cnn features for detecting digital and print-scanned morphed face images
Ramachandra Raghavendra, Kiran B Raja, Sushma Venkatesh, and Christoph Busch · 2017
Cited alongside, same era.
Distinguishing computer graphics from natural images using convolution neural networks
Nicolas Rahmouni, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2017
Cited alongside, same era.
Evolution Strategies as a Scalable Alternative to Reinforcement Learning, Sept. 2017
Tim Salimans, Jonathan Ho, Xi Chen, Szymon Sidor, and Ilya Sutskever · 2017
Cited alongside, same era.
Synthesizing obama: learning lip sync from audio
Mitigating adversarial effects through randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, and Alan Yuille · 2018
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Deepfake video detection through optical flow based cnn
Irene Amerini, Leonardo Galteri, Roberto Caldelli, and Alberto Del Bimbo · 2019
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Hybrid lstm and encoder–decoder architecture for detection of image forgeries
Jawadul H Bappy, Cody Simons, Lakshmanan Nataraj, BS Manjunath, and Amit K Roy-Chowdhury · 2019
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Wav2pix: speech-conditioned face generation using generative adversarial networks
Amanda Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, and Xavier Giro-i Nieto · 2019
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Exposing deepfake videos by detecting face warping artifacts
Yuezun Li and Siwei Lyu · 2019
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Adversarial reprogramming of text classification neural networks
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Supasorn Suwajanakorn, Steven M Seitz, and Ira Kemelmacher-Shlizerman · 2017
Cited alongside, same era.
Two-stream neural networks for tampered face detection
Peng Zhou, Xintong Han, Vlad I Morariu, and Larry S Davis · 2017
Cited alongside, same era.
Mesonet: a compact facial video forgery detection network
Darius Afchar, Vincent Nozick, Junichi Yamagishi, and Isao Echizen · 2018
Cited alongside, same era.
Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples
Anish Athalye, Nicholas Carlini, and David Wagner · 2018
Cited alongside, same era.
Synthesizing robust adversarial examples
Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok · 2018
Cited alongside, same era.
Adversarial multimedia forensics: Overview and challenges ahead
Mauro Barni, Matthew C Stamm, and Benedetta Tondi · 2018
Cited alongside, same era.
Synthetic and natural noise both break neural machine translation
Yonatan Belinkov and Yonatan Bisk · 2018
Cited alongside, same era.
Paarth Neekhara, Shehzeen Hussain, Shlomo Dubnov, and Farinaz Koushanfar · 2019
Later among the works it cites.
Universal adversarial perturbations for speech recognition systems
Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley, and Farinaz Koushanfar · 2019
Later among the works it cites.
Imperceptible, robust, and targeted adversarial examples for automatic speech recognition
Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, and Colin Raffel · 2019
Later among the works it cites.
Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niessner · 2019
Later among the works it cites.
Recurrent convolutional strategies for face manipulation detection in videos
Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, and Prem Natarajan · 2019
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Curls & whey: Boosting black-box adversarial attacks
Yucheng Shi, Siyu Wang, and Yahong Han · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Deferred neural rendering: Image synthesis using neural textures
Justus Thies, Michael Zollhöfer, and Matthias Nießner · 2019
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Realistic speech-driven facial animation with gans
Konstantinos Vougioukas, Stavros Petridis, and Maja Pantic · 2019
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Exposing deep fakes using inconsistent head poses
Xin Yang, Yuezun Li, and Siwei Lyu · 2019
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The deepfake detection challenge (dfdc) dataset
Brian Dolhansky, Russ Howes, Ben Pflaum, Nicole Baram, and Cristian Canton Ferrer · 2020
Closest in time.
Face x-ray for more general face forgery detection
Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo · 2020
Closest in time.