Researchers introduced Latent Frequency Masking, an attack that erases AI-generated image watermarks by manipulating the image's latent representation. The attack preserves image quality and is more efficient than existing methods. This highlights the need for robust watermarking methods and includes latent-frequency manipulation in security evaluations.