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Deepfake Detection
Keywords deepfake, deep learning, generative models, ensemble, diversity  +
Level Master  +
OneLineSummary Detecting deepfake images and videos using a diversified ensemble of deep models  +
Prerequisites Good knowledge of machine learning and deep learning; programming skills for implementing deep learning algorithms  +
References 1- Tolosana, Ruben, et al. "Deepfakes and 1- Tolosana, Ruben, et al. "Deepfakes and beyond: A survey of face manipulation and fake detection." Information Fusion 64 (2020): 131-148. 2- Liu, Xin, and Xiao Chen. "A Survey of GAN-Generated Fake Faces Detection Method Based on Deep Learning." Journal of Information Hiding and Privacy Protection 2.2 (2020): 87. 3- Hsu, Chih-Chung, Yi-Xiu Zhuang, and Chia-Yen Lee. "Deep fake image detection based on pairwise learning." Applied Sciences 10.1 (2020): 370. 4- Khodabakhsh, Ali, et al. "Fake face detection methods: Can they be generalized?." 2018 international conference of the biometrics special interest group (BIOSIG). IEEE, 2018. 5- Mashhadi, Peyman Sheikholharam, Sławomir Nowaczyk, and Sepideh Pashami. "Parallel orthogonal deep neural network." Neural Networks 140 (2021): 167-183.ork." Neural Networks 140 (2021): 167-183.
StudentProjectStatus Open  +
Supervisors Stefan Byttner + , Jens Lundström + , Peyman Mashhadi +
TimeFrame Fall 2021  +
Title Deepfake Detection  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 5 October 2021 15:53:22  +
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