Deepfake Detection in Images and Videos

This coursework covers deepfake detection by exploring its definition, societal impact, and applications. It delves into technical methods, such as spatial and temporal analyses, and the use of deep learning models. Explainability is addressed through Grad-CAM and artifact analysis. Students will discuss challenges including cybersecurity risks and ethical concerns, as well as future advancements in detection technologies like real-time systems and platform integration.