Robust Distribution Learning with Local and Global Adversarial Corruptions

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

We consider learning in an adversarial environment, where an $\epsilon$-fraction of samples from a distribution $P$ are arbitrarily modified (global corruptions) and the remaini…