An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. (arXiv:2208.07464v2 [cs.LG] UPDATED)

In this discussion paper, we survey recent research surrounding robustness of
machine learning models. As learning algorithms become increasingly more
popular in data-driven control systems, their robustness to data uncertainty
must be ensured in order to maintain reliable safety-critical operations. We
begin by reviewing common formalisms for such robustness, and then move on to
discuss popular and state-of-the-art techniques for training robust machine
learning models as well as methods for provably certifying such robustness.
From this unification of robust machine …

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