The maximal data piling direction for discrimination

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A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples (2016, background): “This eﬀect is very reminiscent of the data piling phenomenon studied by Marron et al. (2007) and Ahn and Marron (2010) on high-dimension low-sample size data.”
Geometric GAN (2017, methodology): “In particular the normal vector w for the seperating hyperplane is given by the difference of the class means: Note that if the variables are ﬁrst mean centered then scaled by the standard deviation, then the mean difference is equivalent to the naive Bayes classiﬁer [10, 11, 12].”