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In image pooled steganalysis, a steganalyst, Eve, aims to detect if a set ofimages sent by a steganographer, Alice, to a receiver, Bob, contains a hiddenmessage. We can reasonably assess that the steganalyst does not know thestrategy used to spread the payload across images. To the best of ourknowledge, in this case, the most appropriate solution for pooled steganalysisis to use a Single-Image Detector (SID) to estimate/quantify if an image iscover or stego, and to average the scores obtained on the set of images.  In such a scenario, where Eve does not know the spreading strategies, weexperimentally show that if Eve can discriminate among few well-known spreadingstrategies, she can improve her steganalysis performances compared to a simpleaveraging or maximum pooled approach. Our discriminative approach allowsobtaining steganalysis efficiencies comparable to those obtained by aclairvoyant, Eve, who knows the Alice spreading strategy. Another interestingobservation is that DeLS spreading strategy behaves really better than all theother spreading strategies.  Those observations results in the experimentation with six differentspreading strategies made on Jpeg images with J-UNIWARD, a state-of-the-artSingle-Image-Detector, and a discriminative architecture that is invariant tothe individual payload in each image, invariant to the size of the analyzed setof images, and build on a binary detector (for the pooling) that is able todeal with various spreading strategies.

Pooled Steganalysis in JPEG: how to deal with the spreading strategy?