Titlebook: Digital Forensics and Watermarking; 22nd International W Bin Ma,Jian Li,Qi Li Conference proceedings 2024 The Editor(s) (if applicable) and

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Convolutional Neural Network Prediction Error Algorithm Based on Block Classification Enhancedlocks to specific predictors targeting either texture or smoothing groups according to their respective categories, more precise predicted images can be obtained. The image predictor is trained using 3000 randomly selected images from ImageNet. The experimental results show that the proposed method

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Resilienz im Zeitalter der Mobilitätdence that the proposed cryptographic system ensures robust security. This research provides a novel and effective solution for ensuring the confidentiality and integrity of encrypted images, addressing the growing concerns of image security in the digital era.

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Resilienz als Sicherheitsprogrammxt contains the information of an entire image. This significantly reduces the storage space and communication overhead with the cloud server, while our scheme supports computational operations in this data format. Our experimental results validate the feasibility of the proposed scheme, which outpe

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Urbane Resilienz und endemische Gewalttinguishing original content from back-translated texts. Furthermore, we improve the back-translation plagiarism detection capability of our model by optimizing the contrastive loss function and utilizing the fused translated representations as targets. To validate the effectiveness of our model, we

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https://doi.org/10.1007/978-3-658-12786-2ring methods where modifications are localized, facial attribute alterations often span the entire image. The transitions between edited and unedited regions appear seamless, devoid of any conspicuous local tampering signs. Thus, our proposed method adopts a dual-stream structure, targeting the extr

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