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  1. null (Ed.)
    Abstract--- The JPEG compatibility attack is a steganalysis method for detecting messages embedded in the spatial representation of images under the assumption that the cover is a decompressed JPEG. This paper focuses on improving the detection accuracy for the difficult case of high JPEG qualities and content-adaptive stego algorithms. Close attention is paid to the robustness of the detection with respect to the JPEG compressor and DCT coefficient quantizer. A likelihood ratio detector derived from a model of quantization errors of DCT coefficients in the recompressed image is used to explain the main mechanism responsible for detection and to understand the results of experiments. The most accurate detector is an SRNet trained on a two-channel input consisting of the image and its SQ error. The detection performance is contrasted with state of the art on four content-adaptive stego methods, wide range of payloads and quality factors. 
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