基于生成式人工智能的视频防伪

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中图分类号：TP391.41 文献标志码：A 文章编码：1672-7274（2025）05-0079-03

Abstract： With the rapid development of artificial intelligence technology，deepfake technology has frequently emerged in the field of video and image forgery，posing serious challnges to social security and personal privacy protection.This article introduces a video anti-counterfeiting authentication scheme based on generative artificial inteligence， which aims to enhance the detection capability of deep forgery technology and prevent and control telecommunications network fraud.This article explores how to improve the detection andresponse capabilities of new fraud methods through technological innovation in response to fraud cases using AI face swapping technology that have emerged inrecent years.Byconstructing diversified deep forgery image and video accurate detection technology， model compresion technology，and knowledge distilation technology，real-time fraudcases using AIface swapping technology can be effectively identified and prevented.

Keywords： deep forgery; telecommunication fraud; video anti-counterfeiting model; model compresiol

近年来，随着深度学习技术的发展，深度伪造技术（Deepfake）已经能够生成高度逼真的视频和图像，这在影视制作、游戏开发等领域具有广阔的应用前景。（剩余3635字）