MLPN:用于深度伪造检测和定位的多尺度拉普拉斯金字塔网络

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yibo Zhang , Weiguo Lin , Junfeng Xu , Wanshang Xu , Yikun Xu
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引用次数: 0

摘要

深度造假技术制作的复杂逼真的面部操纵视频无处不在,在当代社会引发了深刻的信任危机和安全风险。然而,目前研究人员主要集中在提高深度伪造检测模型的精度和泛化上,很少关注伪造的定位问题。检测深度伪造和识别伪造区域是一项具有挑战性的任务。我们提出了一种基于拉普拉斯金字塔的端到端模型,用于执行深度伪造检测和伪造定位。该模型采用编码器-解码器体系结构设计。具体来说,编码器生成多尺度特征。解码器逐步整合多尺度特征和拉普拉斯残差,从粗到精重构预测掩模。另外,我们采用空间金字塔池的方法来处理高层次的语义特征,并整合局部和全局信息。综合实验表明,该模型具有较好的深度检测和定位效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MLPN: Multi-Scale Laplacian Pyramid Network for deepfake detection and localization
Sophisticated and realistic facial manipulation videos created by deepfake technology have become ubiquitous, leading to profound trust crises and security risks in contemporary society. However, various researchers concentrate on enhancing the precision and generalization of deepfake detection models, with little attention to forgery localization. Detecting deepfakes and identifying fake regions is a challenging task. We propose an end-to-end model for performing deepfake detection and forgery localization based on the Laplacian pyramid. The model is designed by an encoder–decoder architecture. Specifically, the encoder generates multi-scale features. The decoder gradually integrates multi-scale features and Laplacian residuals to reconstruct the prediction masks coarse-to-finely. Otherwise, we adopt a spatial pyramid pool approach to deal with high-level semantic features and integrate local and global information. Comprehensive experiments demonstrate that the proposed model performs satisfactorily in deepfake detection and localization.
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来源期刊
Journal of Information Security and Applications
Journal of Information Security and Applications Computer Science-Computer Networks and Communications
CiteScore
10.90
自引率
5.40%
发文量
206
审稿时长
56 days
期刊介绍: Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.
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