robust mean estimation is the problem of estimating the mean $\mu \in
\mathbb{R}^d$ of a $d$-dimensional distribution $D$ from a list of independent
samples, an $\epsilon$-fraction of which have been arbitrarily corrupted by a
malicious adversary. Recent algorithmic progress has result