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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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Amal Naitali, Mohammed Ridouani, Fatima Salahdine and Naima Kaabouch
Recent years have seen a substantial increase in interest in deepfakes, a fast-developing field at the nexus of artificial intelligence and multimedia. These artificial media creations, made possible by deep learning algorithms, allow for the manipulatio...
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Deeraj Nagothu, Ronghua Xu, Yu Chen, Erik Blasch and Alexander Aved
With the fast development of Fifth-/Sixth-Generation (5G/6G) communications and the Internet of Video Things (IoVT), a broad range of mega-scale data applications emerge (e.g., all-weather all-time video). These network-based applications highly depend o...
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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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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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