Face Manipulation

Face manipulation, encompassing techniques like deepfakes, focuses on creating realistic alterations to facial images and videos, raising significant ethical and societal concerns. Current research emphasizes both detection methods, often employing convolutional neural networks, transformers, and generative adversarial networks (GANs), and proactive defense strategies that embed imperceptible perturbations to disrupt manipulation algorithms. This field is crucial due to the potential for misuse in spreading misinformation, compromising identity, and undermining trust in visual media, driving ongoing efforts to develop robust detection and prevention technologies.