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Machine Learning Systems are Bloated and Vulnerable
Today's software is bloated with both code and features that are not used by most users.
Robust and Accurate Authorship Attribution via Program Normalization
To address these emerging issues, we formulate this security challenge into a general threat model, the $\textit{relational adversary}$, that allows an arbitrary number of the semantics-preserving transformations to be applied to an input in any problem space.
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