The document presents a study on a novel Adaptive Residuals Extraction Network (AREN) for detecting fake faces, which enhances image forensics through efficient preprocessing. It highlights the effectiveness of using DenseNet architecture to achieve better prediction residuals and improved accuracy in classifying different types of image manipulations. The study emphasizes the transferability of the AREN model to other CNN-based systems for detecting various image forgeries under complex scenarios.