Fake image detection using convolutional neural networks and hybrid machine learning techniques.
The rise of manipulated visual content on digital platforms (whether through artificial intelligence, photo editing software, or simple filters) has led to growing concerns around misinformation. This thesis investigates the use of deep learning models, specifically Convolutional Neural Networks (CNNs), to detect fake images. Several architectures derived from pretrained models (in which we added
