I went to a visualization talk thinking it was about security and now I'm extremely disappointed.

@j605 Well the title/abstract spoke about machine learning model interpretability, which I thought would've meant it was trying to provide deeper insight on why a model does what it does (i.e., remove the black box). It ended up being a "we provide tools to visualize the dataset and the classification result"

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