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DeepFake is becoming a real risk to society and brings potential threats to both individual privacy and political security due to the DeepFaked multimedia are realistic and convincing.
Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
Earlier work this paper cites.
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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Fader networks: Manipulating images by sliding attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2017
Earlier work this paper cites.
Magnet: a two-pronged defense against adversarial examples
Dongyu Meng and Hao Chen · 2017
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Stargan: Unified generative adversarial networks for multi-domain image-to-image translation
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, and Jaegul Choo · 2018
Earlier work this paper cites.
Characterizing adversarial subspaces using local intrinsic dimensionality
Xingjun Ma, Bo Li, Yisen Wang, Sarah M Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E Houle, and James Bailey · 2018
Earlier work this paper cites.
Attgan: Facial attribute editing by only changing what you want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
Earlier work this paper cites.
Stgan: A unified selective transfer network for arbitrary image attribute editing
Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, and Shilei Wen · 2019
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Evading deepfake-image detectors with white-and black-box attacks
Nicholas Carlini and Hany Farid · 2020
Earlier work this paper cites.
Fakepolisher: Making deepfakes more detection-evasive by shallow reconstruction
Yihao Huang, Felix Juefei-Xu, Run Wang, Qing Guo, Lei Ma, Xiaofei Xie, Jianwen Li, Weikai Miao, Yang Liu, and Geguang Pu · 2020
Cited alongside, same era.
Deepfacelab: A simple, flexible and extensible face swapping framework
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, et al · 2020
Cited alongside, same era.
Thinking in frequency: Face forgery detection by mining frequency-aware clues
Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, and Jing Shao · 2020
Cited alongside, same era.
Disrupting deepfakes: Adversarial attacks against conditional image translation networks and facial manipulation systems
Nataniel Ruiz, Sarah Adel Bargal, and Stan Sclaroff · 2020
Cited alongside, same era.
Disrupting deepfakes with an adversarial attack that survives training
Eran Segalis · 2020
Cited alongside, same era.
Defending against gan-based deepfake attacks via transformation-aware adversarial faces
Chaofei Yang, Lei Ding, Yiran Chen, and Hai Li · 2020
Later among the works it cites.
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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Magdr: Mask-guided detection and reconstruction for defending deepfakes
Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, and Bo Zhang · 2021
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FaceSwap, 2021
FaceSwap · 2021
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Exposing gan-generated faces using inconsistent corneal specular highlights
Shu Hu, Yuezun Li, and Siwei Lyu · 2021
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Initiative defense against facial manipulation
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Icface: Interpretable and controllable face reenactment using gans
Soumya Tripathy, Juho Kannala, and Esa Rahtu · 2020
Cited alongside, same era.
Deepsonar: Towards effective and robust detection of ai-synthesized fake voices
Run Wang, Felix Juefei-Xu, Yihao Huang, Qing Guo, Xiaofei Xie, Lei Ma, and Yang Liu · 2020
Cited alongside, same era.
Cnn-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
Cited alongside, same era.
Noise or signal: The role of image backgrounds in object recognition
Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, and Aleksander Madry · 2020
Cited alongside, same era.
Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, and Nenghai Yu · 2021
Later among the works it cites.
Countering malicious deepfakes: Survey, battleground, and horizon
Felix Juefei-Xu, Run Wang, Yihao Huang, Qing Guo, Lei Ma, and Yang Liu · 2021
Later among the works it cites.
Faketagger: Robust safeguards against deepfake dissemination via provenance tracking
Run Wang, Felix Juefei-Xu, Meng Luo, Yang Liu, and Lina Wang · 2021
Later among the works it cites.
Fakespotter: a simple yet robust baseline for spotting ai-synthesized fake faces
Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, and Yang Liu · 2021
Later among the works it cites.