Benchmarking for Steganography

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Fast Two-Sample Testing with Analytic Representations of Probability Measures (2015, methodology): “These include data integration in bioinformatics [6], benchmarking for steganography [20] and automated model checking [19].”
A new cost function for spatial image steganography (2014, background): “Steganography aims to hide information in stego media without drawing suspicion from steganalysis [1][2].”
A Survey on Image Steganography and Steganalysis (2011, methodology): “• A steganographic technique is said to be γ -secure with respect to (w.r. Maximum mean discrepancy (MMD)[10], a statistical method for testing if two kinds of samples are generated from the same distribution, may be suitable for benchmarking steganography since it is numerically stable even in…”
Current status and key issues in image steganography: A survey (2014, background): “3 – (a) Confusion matrix (b) ROC curve. where D is the number of samples [13].”