We propose a robust generative video steganography method based on visual editing, which modifies semantic feature to embed secret message. The results showcase that our method can generate high-quality visually edited stego videos.
RoGVS outperforms existing video and image steganography methods in robustness and capacity, making it a significant advancement in the field of secure message embedding.
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