There is a series of lectures on stego at Oxford [1]. The lecturer uses simple machine learning (average perceptrons I think) and achieves 99% accuracy with little effort although that was for LSBR[2]. Later he discusses problems with the graph approach [3]. Simply put whilst it preserves 1st order histograms it will probably mess with 2nd or 3rd order histograms.<p>[1]<a href="https:&#x2F;&#x2F;www.cs.ox.ac.uk&#x2F;teaching&#x2F;courses&#x2F;advsec&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.cs.ox.ac.uk&#x2F;teaching&#x2F;courses&#x2F;advsec&#x2F;</a>
[2]<a href="https:&#x2F;&#x2F;www.cs.ox.ac.uk&#x2F;teaching&#x2F;materials15-16&#x2F;advsec&#x2F;advsec-notes-ch01234.pdf" rel="nofollow">https:&#x2F;&#x2F;www.cs.ox.ac.uk&#x2F;teaching&#x2F;materials15-16&#x2F;advsec&#x2F;advse...</a> p48
[3] ^ p58