Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟰𝟯𝟮 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Image Steganography based on Style Transfer by University of Science and Technology of China Follow me for a similar post: Ashish Patel ------------------------------------------------------------------- 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗙𝗮𝗰𝘁𝘀 : 🔸 This paper is published arxiv2022. ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 ➡️ Image steganography is the art and science of using images as cover for covert communications. ➡️ With the development of neural networks, traditional image steganography is more likely to be detected by deep learning-based steganalysis. ➡️ To improve upon this, we propose image steganography network based on style transfer, and the embedding of secret messages can be disguised as image stylization. ➡️ We embed secret information while transforming the content image style. In latent space, the secret information is integrated into the latent representation of the cover image to generate the stego images, which are indistinguishable from normal stylized images. ➡️ It is an end-to-end unsupervised model without pre-training. ➡️ Extensive experiments on the benchmark dataset demonstrate the reliability, quality and security of stego images generated by our steganographic network. #computervision #artificialintelligence #data