It is shown that there exists \(\varvec{f}\varvec{:} \varvec{\{}\varvec{0}\varvec{,}\varvec{1}\varvec{\}}^{\varvec{n/2}} \varvec{\times } \varvec{\{0,1\}}^{\varvec{n/2}} \varvec{\rightarrow } \varvec{\{0,1\}}\) in E \(^\textbf{NP}\) such that for every \(\varvec{2}^{\varvec{n/2}} \varvec{\times } \varvec{2}^{\varvec{n/2}}\) matrix \(\varvec{M}\) of rank \(\varvec{\le } \varvec{\rho }\) we have \(\mathbb {P}_{\varvec{x,y}}\varvec{[}\varvec{f}\varvec{(x,y)}\varvec{\ne } \varvec{M}_{\varvec{x,y}}\varvec{]} \varvec{\ge } \varvec{1/2-2}^{\varvec{-\Omega }\varvec{(k)}}\) , whenever \(\varvec{\log } \varvec{\rho } \varvec{\le } \varvec{\delta } \varvec{n/k}\varvec{(}\varvec{\log } \varvec{n} \varvec{+} \varvec{k}\varvec{)}\) for a sufficiently small \(\varvec{\delta } \varvec{>} \varvec{0}\) , and \(\varvec{n}\) is large enough. This generalizes recent results which bound below the probability by \(\varvec{1/2-\Omega }\varvec{(1)}\) or apply to constant-depth circuits.