A recent study introduces a robust identity perceptual watermark aimed at addressing privacy concerns associated with deepfake face swapping technology. As deep generative models continue to advance, the necessity for reliable detection methods becomes increasingly important. This new watermark technique is designed to improve the effectiveness of detection models, particularly in challenging cross-domain scenarios where traditional methods may struggle. By enhancing detection reliability, the approach seeks to mitigate the risks posed by unauthorized face swapping. The research highlights the potential of identity perceptual watermarks to serve as a valuable tool in the ongoing effort to combat deepfake misuse. Overall, the study presents a positive outlook on the watermark's capability to strengthen privacy protections in the evolving landscape of AI-generated media.