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You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks
In this survey we review the current literature on attacks and their real-world occurrences, or limited evidence thereof, to critically evaluate the real-world risks of adversarial machine learning (AML) for the average entity.
A Siren Song of Open Source Reproducibility
Our argument is that this focus on code for replication is misguided if we want to improve the state of reproducible research.
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