另一方面,使用检测方法来发现Deepfakes至关重要,但是了解人们发布Deepfakes的真实意图更为重要。 这需要基于发现Deepfake的社交环境(例如,社交网络)对用户进行判断。 谁分发了它以及他们对此发表了什么看法[102]。 随着Deepfake越来越逼真,这是至关重要的,并且高度期望检测软件将落后于Deepfake创作技术。 因此,有必要进行...
论文题目:Deep Learning for Deepfakes Creation and Detection 论文链接: Deep Learning for Deepfakes Creation and Detectionarxiv.org/abs/1909.11573 主要内容: 介绍deepfake的危害;介绍deepfakes的制作方法;整理了目前几种比较先进的检测deepfakes的方法。 0. Abstract 深度学习已经成功地应用于解决各种复杂的问题...
Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of those deep learning-powered applications recently emerged is "deepfake". Deepfake algorithms can create fake images and videos that humans cannot ...
Furthermore, temporal dependencies in films can be captured using recurrent neural networks (RNNs) and attention processes, which enhances the detection of deepfakes over frame sequences. Counterexamples can be produced using sophisticated designs such as GANs (Generative Adversarial Networks), which hel...
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can cause threats to privacy, democracy and national security. One of...
1使用卷积池化和正则化技术在Deepfake检测中局部和全局进行人脸特征学习。 2证明了图像关键帧重要性,图像帧受到常见视频压缩的信息丢失的影响。 3与现有的Deepfake检测基线相比,我们的方法在具有鲁棒可转移性的跨数据集和跨数据集实验中都达到了最先进的性能。
Much research has been devoted to developing detection methods to reduce the potential negative impact of deepfakes. Application of neural networks and deep learning is one approach. In this paper, we consider the deepfake detection technologies Xception and MobileNet as two approaches for ...
Elastic Weight Consolidation and Transfer Learning: A New Paradigm for Deepfake Detection The rampant proliferation and escalating sophistication of deepfakes underscore the critical need for effective detection mechanisms. Addressing the persis... L Collins,CT Li,Y Hu,... - IEEE International ...
AI换脸 (face-swap)是指用另一个人脸来替换一张图片或视频中的一个人脸,合成新的媒体物,它是Deepfake(“深度伪造”)技术最广为人知的一种应用形式。Deepfake是指基于深度学习等机器学习方法创建或合成视听觉内容,如图像、音视频、文本等。 Deepfake的制作和检测研究自2017年以来,相关论文数从3篇增加到150篇以上(...
4.A Survey on Deepfakes and Detection Techniques5.First Order Motion Model for Image Animation6.《Deep Learning》7.zhuanlan.zhihu.com/p/318.arxiv.org/abs/1406.26619.Animating arbitrary objects via deep motion transfer10.ai.baidu.com/forum/topi11.bbs.huaweicloud.com/blo12.blog.csdn.net/h...