The orchestrated manipulation of public opinion, particularly through manipulated images, often spread via online social networks (OSN), has become a serious threat to society. In this paper we introduce the Digital Forensics Net (DF-Net), a deep neural network for pixel-wise image forgery detection. The released model outperforms several state-of-the-art methods on four established benchmark datasets. Most notably, DF-Net's detection is robust against lossy image operations (e.g resizing, compression) as they are automatically performed by social networks.

翻译：通过在线社交网络传播的、特别是经过篡改的图像所引导的舆论操纵，已成为对社会的严重威胁。本文介绍了数字取证网络（DF-Net），一种用于像素级图像伪造检测的深度神经网络。所发布的模型在四个公认的基准数据集上优于多种最先进的方法。尤为重要的是，DF-Net的检测对于有损图像操作（例如调整大小、压缩）具有鲁棒性，因为这些操作通常由社交网络自动执行。