Researchers developed a benchmark for evaluating the robustness of local invisible image watermarks against various image transformations. The study found that existing methods are vulnerable to certain types of transformations, with MaskWM showing the strongest performance but also the lowest image quality. The findings highlight the importance of considering the nature of the transformation when designing local watermarks.