I have convinced myself of the following:For every $(k,\epsilon^2\hspace{.005 in})$-strong extractor Ext, for every distribution $X$,if $\;\; k\leq$ $\:H_{\infty}$$(\hspace{.01 in}X\hspace{.015 in}) \;\;$ then the probability over the seed $U$ that the distribution of $\: \text{Ext}\hspace{.01 in}(\hspace{.01 in}X,U\hspace{.015 in}) \:$ is not $\epsilon$-close to uniformis at most $\epsilon$.Are there any known  explicit  strong extractors that are known to handle seed reuse better than can  be shown by using the above on a standard strong extractor?What if each instance of extractor in the rest of this post was replaced with blender$\hspace{.01 in}$?
Strong extractors with reusable seeds
cr.crypto security;randomness;extractors