Forgery Domain

The forgery domain focuses on detecting manipulated media, primarily deepfakes, which pose significant societal risks. Current research emphasizes developing robust and generalizable detection models, often employing deep learning architectures like transformers and incorporating techniques such as federated learning for privacy preservation and incremental learning to adapt to evolving forgery methods. Key advancements involve leveraging diverse data representations, including frequency domain analysis alongside traditional image analysis, and designing methods to improve model generalization across different forgery techniques and datasets. This field is crucial for mitigating the spread of misinformation and maintaining trust in digital media.