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While the significant advancements have made in the generation of deepfakes using deep learning technologies, its misuse is a well-known issue now.
The deepfake detection challenge (dfdc) preview dataset, 2019
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Emotions don’t lie: An audio-visual deepfake detection method using affective cues, 2020
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David Güera and Edward J Delp · 2018
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Detecting Both Machine and Human Created Fake Face Images In the Wild
Shahroz Tariq, Sangyup Lee, Hoyoung Kim, Youjin Shin, and Simon S. Woo · 2018
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Deepfakes: a new threat to face recognition? assessment and detection
Pavel Korshunov and Sébastien Marcel · 2018
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Deepfakes: a new threat to face recognition? assessment and detection
Pavel Korshunov and Sébastien Marcel · 2018
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GAN is a Friend or Foe? A Framework to Detect Various Fake Face Images
Shahroz Tariq, Sangyup Lee, Hoyoung Kim, Youjin Shin, and Simon S. Woo · 2019
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FakeTalkerDetect: Effective and Practical Realistic Neural Talking Head Detection with a Highly Unbalanced Dataset
Hyeonseong Jeon, Youngoh Bang, and Simon S Woo · 2019
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Junyaup Kim, Siho Han, and Simon S Woo · 2019
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Contributing data to deepfake detection research
Nick Dufour and Andrew Gully · 2019
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Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
Mingxing Tan and Quoc Le · 2019
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Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
Thinking in frequency: Face forgery detection by mining frequency-aware clues
Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, and Jing Shao · 2020
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Deepfakes are the most dangerous crime of the future, researchers, 2020
Adam Smith · 2021
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Deepfakes are going to wreak havoc on society. we are not prepared, 2020
State Farm Insurance · 2021
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State farm and kenny mayne brilliantly faked us all out during the last dance, 2020
David Griner · 2021
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Shahroz Tariq, Sowon Jeon, and Simon S Woo · 2021
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One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework
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Faceshifter: Towards high fidelity and occlusion aware face swapping
Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen · 2019
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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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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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Fsgan: Subject agnostic face swapping and reenactment
Yuval Nirkin, Yosi Keller, and Tal Hassner · 2019
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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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Neural voice puppetry: Audio-driven facial reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, and Matthias Nießner · 2020
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Shahroz Tariq, Sangyup Lee, and Simon Woo · 2021
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Detecting handcrafted facial image manipulations and GAN-generated facial images using Shallow-FakeFaceNet
Sangyup Lee, Shahroz Tariq, Youjin Shin, and Simon S. Woo · 2021
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TAR: Generalized Forensic Framework to Detect Deepfakes Using Weakly Supervised Learning
Sangyup Lee, Shahroz Tariq, Junyaup Kim, and Simon S. Woo · 2021
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FReTAL: Generalizing Deepfake Detection Using Knowledge Distillation and Representation Learning
Minha Kim, Shahroz Tariq, and Simon S. Woo · 2021
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CoReD: Generalizing Fake Media Detection with Continual Representation Using Distillation
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Kodf: A large-scale korean deepfake detection dataset
Patrick Kwon, Jaeseong You, Gyuhyeon Nam, Sungwoo Park, and Gyeongsu Chae · 2021
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Fakebuster: A deepfakes detection tool for video conferencing scenarios
Vineet Mehta, Parul Gupta, Ramanathan Subramanian, and Abhinav Dhall · 2021
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Binh M Le and Simon S Woo · 2021
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Exploring the asynchronous of the frequency spectra of gan-generated facial images
Binh M Le and Simon S Woo · 2021
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Shahroz Tariq, Sowon Jeon, and Simon S Woo · 2021
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Multimodal classification, 2019
xkaple01 · 2021
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Multimodal for movie genre prediction, 2021
Dhruv Verma · 2021
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Deepfake videos in the wild: Analysis and detection
Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, and Bimal Viswanath · 2021
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Face comparing – protection against fake face attacks – seasoned solution – accurate in real world, 2021
Face++ · 2021
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Watson speech to text, 2019
IBM · 2021
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Lips don’t lie: A generalisable and robust approach to face forgery detection
Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, and Maja Pantic · 2021
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Evaluation of an Audio-Video Multimodal Deepfake Dataset Using Unimodal and Multimodal Detectors
Hasam Khalid, Minha Kim, Shahroz Tariq, and Simon S. Woo · 2021
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Fsgan - official pytorch implementation, 2020
Yuval Nirkin, Yosi Keller, and Tal Hassner · 2021
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Hann function — Wikipedia, the free encyclopedia
Wikipedia contributors · 2021
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