What are some adversarial cases for gradient descent, and/or what sort of e.g. DVC.org or W3C PROV provenance information should be tracked for a production ML workflow?

Gradient descent: https://en.wikipedia.org/wiki/Gradient_descent

Stochastic gradient descent: https://en.wikipedia.org/wiki/Stochastic_gradient_descent

Online machine learning: https://en.wikipedia.org/wiki/Online_machine_learning

adversarial gradient descent site:github.com inurl:awesome : https://www.google.com/search?q=awesome+adversarial+gradient...

https://github.com/EthicalML/awesome-production-machine-lear...

Robust machine learning: https://en.wikipedia.org/wiki/Robustness_(computer_science)#...

Robust gradient descent