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Tomasz Walczyna and Zbigniew Piotrowski
The proliferation of ?Deep fake? technologies, particularly those facilitating face-swapping in images or videos, poses significant challenges and opportunities in digital media manipulation. Despite considerable advancements, existing methodologies ofte...
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Li Fan, Wei Li and Xiaohui Cui
Many deepfake-image forensic detectors have been proposed and improved due to the development of synthetic techniques. However, recent studies show that most of these detectors are not immune to adversarial example attacks. Therefore, understanding the i...
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Samar Samir Khalil, Sherin M. Youssef and Sherine Nagy Saleh
Fake media is spreading like wildfire all over the internet as a result of the great advancement in deepfake creation tools and the huge interest researchers and corporations are showing to explore its limits. Now anyone can create manipulated unethical ...
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Aminollah Khormali and Jiann-Shiun Yuan
Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media?s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos, i.e., Dee...
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Kunlin Liu, Ping Wang, Wenbo Zhou, Zhenyu Zhang, Yanhao Ge, Honggu Liu, Weiming Zhang and Nenghai Yu
Deepfake aims to swap a face of an image with someone else?s likeness in a reasonable manner. Existing methods usually perform deepfake frame by frame, thus ignoring video consistency and producing incoherent results. To address such a problem, we propos...
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