参考资料:https://arstechnica.com/security/2024/10/startup-can-catch-identify-deepfake-video-in-realtime/ https://www.realitydefender.com/blog/real-time-video-deepfake-detection-now-on-reality-defender https://arstechnica.com/ai/2024/10/deepfake-lovers-swindle-victims-out-of-46m-in-hong-kong-...
Method 首先,对输入的视频数据进行预处理,包括提取眼睛和嘴部的VAF特征(这玩意儿好像是1980提出的,原文很长,就没细看,好像可以提取出图像的边缘、轮廓信息,现在做检测投期刊的工作好像都喜欢用传统机器学习做预处理+AI训练的方式),然后输入16个固定的5x5卷积核进行特征提取,然后输入kmeans算法进行原始聚类,获得伪标签。
https://arstechnica.com/security/2024/10/startup-can-catch-identify-deepfake-video-in-realtime/ https://www.realitydefender.com/blog/real-time-video-deepfake-detection-now-on-reality-defender https://arstechnica.com/ai/2024/10/deepfake-lovers-swindle-victims-out-of-46m-in-hong-kong-ai-scam/...
The majority of deepfake video detection methods are data-driven. This survey paper aims to thoroughly analyse deepfake video generation and detection. The paper's main contribution is the classification of the many challenges encountered while detecting deepfake videos. The paper discusses data ...
As complexity and capabilities of Artificial Intelligence technologies increase, so does its potential for misuse. Deepfake videos are an example. They are
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 ...
https://interestingengineering.com/microsoft-debuts-deepfake-detection-tool-to-combat-disinformation https://techcrunch.com/2020/09/02/microsoft-launches-a-deepfake-detector-tool-ahead-of-us-election/ https://blogs.microsoft.com/on-the-issues/2020/09/01/disinformation-deepfakes-newsguard-video-...
The majority of deepfake video detection methods are data-driven. This survey paper aims to thoroughly analyse deepfake video generation and detection. The paper's main contribution is the classification of the many challenges encountered while detecting deepfake videos. The paper discusses data ...
The illegal use of deepfake technology will have a serious impact on social stability, personal reputation and even national security. Therefore, it is imperative to develop research on facial deepfake videos detection technology, which is also a researc
5.2、Fake Video Detection 大多数图像检测方法不能用于视频,因为视频压缩后帧数据会严重退化。视频具有在帧组之间变化的时间特性,对于设计为仅检测静态图像的方法具有挑战性。 使用跨视频帧的时间模式的方法主要基于深度递归网络模型来检测deepfake视频,可分为两类:采用时间特征的方法和探索帧内视觉伪影的方法。