There are several approaches to using neural networks for deep fake detection. One approach is to use a convolutional neural network (CNN) [1] to analyze the visual artifacts in the image or video. The CNN can detect inconsistencies or anomalies in the image or video that are indicative of ...
Deep LearningFake DetectionSocial MediaMachine LearningDeep learning is an effective and useful technique that has been widely applied in a variety of fields, including computer vision, machine vision, and natural language processing. Deepfakes uses deep learning technology to manipulate images and ...
Deepfake Video Detection Using Recurrent Neural Networks David GüeraEdward J. Delp Advanced Video and Signal Based Surveillance Nov 2018 In recent months a machine learning based free software tool has made it easy to create believable face swaps in videos that leaves few traces of manipulation, in...
[2] Nguyen, Thanh & Nguyen, Cuong M. & Nguyen, Tien & Nguyen, Duc & Nahavandi, Saeid. Deep Learning for Deepfakes Creation and Detection: A Survey (2019).[3] P. K. P. K. Sawinder Kaur, Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional l...
3.2 Fake Video Detection 由于视频压缩后帧数据的严重退化,大多数图像检测方法不能用于视频检测。此外,视频的时间特征在不同的帧之间是不同的,因此设计方法来检测假视频相对于检测假图像是有挑战性的。本小节重点介绍了deepfake视频检测方法,并将其分为两组:使用时间特征的方法和在帧内检测视觉伪影的方法。 3.2.1 ...
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost. Currently, face-swapping deepfake techniques are widely spread, generating a significant number of highly realistic fake videos that threaten the privacy o... A Ismail,M Elpeltagy,MS Zaki,... - 《Sensors》 被引量...
5.2帧内视觉伪影(visual artifacts within video frame) 将视频分解为帧并探索单个帧内的视觉伪影以获得判别特征,再将这些功能分配到深层或浅层分类器中以区分真假视频;该类型的处理方法更多的和deepfake image detection类似,只针对空间域的特征进行检测。
Deepfakes use deep learning artificial intelligence to digitally replace, alter, or imitate someone’s face or body in a video or their voice in an audio. In other words, deepfakes are fake videos or images. Now, with the AI technology, it’s simple to make deepfakes. Here is a list ...
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. arXiv preprint arXiv:2103.01856. [19] Li, L., Bao, J., Zhang, T., Yang, H., Chen, D., Wen, F., & Guo, B. (2020). Face x-ray for more general face forgery detection. In Proceedings of the ...
3.2 Fake Video Detection 3.2.1 Temporal Features Across Frames 3.2.2 Visual Artifacts within Frame 3.2.2.1 Deep Classifiers 3.2.2.2 Shallow Classifiers 3 Deepfake Detection Deepfakes检测方法根据文章[1][1][1]可分为假图像检测和假视频检测,这是因为大多数的图像检测算法不能直接用于视频检测,因为视频压缩...