SADBench is a new benchmark that systematically tests steganography attacks with harmful image and text payloads against steganalysis defenses, revealing stable attack methods, near-perfect in-domain detection, transferability asymmetry favoring attacks, and persistent real-world threats on social媒体
Clpstnet: A progressive multi-scale convolutional steganography model integrating curriculum learning
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Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses
SADBench is a new benchmark that systematically tests steganography attacks with harmful image and text payloads against steganalysis defenses, revealing stable attack methods, near-perfect in-domain detection, transferability asymmetry favoring attacks, and persistent real-world threats on social媒体