In 2014, Generative Adversarial Networks (GANs) were invented, marking the dawn of a virtual world created by AI. Since then, “AI Deep Synthesis” has gradually transitioned from the laboratory to everyday life, becoming a part of the digital experience for ordinary people. The face-swapping military photos shared on social media, the lifelike virtual anchors, and … Read more
Reported by Xinjiyuan Editor: LRS [Xinjiyuan Introduction] Do we have a new toy, and do the fraudsters have a new tool? In recent years, the field of computer vision has seen significant advancements in generative technology, and corresponding “forgery” technology has matured, from DeepFake face-swapping to action simulation, making it difficult to distinguish between real … Read more
Pine from Aifei Temple Quantum Bit | WeChat Official Account QbitAI DeepFake has been used in telecom fraud, how can we combat it? Just have him turn his head and look at his profile. DeepFake has always had this vulnerability: when the face being forged is completely turned sideways (turned 90°), its authenticity drops sharply. … Read more
Reported by New Intelligence Source: IEEE Spectrum Editor: Jin Lei 【New Intelligence Overview】DeepFake has recently become a hot topic, raising numerous concerns. In response to the potential negative impacts of DeepFake, researchers have developed a magical tool based on neural networks that can identify the authenticity of DeepFake images. The nemesis of DeepFake is here! … Read more
Author | Facebook AI Translator | Wang Qiang Planner | Ling Min In recent years, Deepfake images have become increasingly realistic. In some cases, it is difficult for humans to discern the difference between these images and real ones. Although detecting Deepfake images remains a significant challenge in the industry, the motivation to detect them … Read more
Selected from arXiv Authors: Umur Aybars Ciftci et al. Translated by: Machine Heart Editor: Chen Ping Can DeepFake truly achieve indistinguishable effects?Not necessarily.Researchers from Binghamton University and Intel utilize heartbeat signals to discern the authenticity of videos and can also “uncover” the underlying generative models. The technology for generating fake portrait videos poses new threats … Read more