]> 2026-04-04T19:41:59+02:00 Deepfake Detection 0 en Master Detecting deepfake images and videos using a diversified ensemble of deep models Good knowledge of machine learning and deep learning; programming skills for implementing deep learning algorithms 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. Open Fall 2021 Deepfake Detection 2021-10-05T15:53:22Z 2459493.1620602 Deepfake Detection 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Deepfake Detection# ERRd9c33d5ac8a89308063e13c4b212fa7c