 For adversarially robust streams, we obtain a (1+\epsilon)-approximation to F_p using%DIFDELCMD < \mathcal{O}\left(%%% \frac{\log n{\epsilon^2}}%DIFDELCMD < \right) %%% bits of space for p\in[0,2] and using%DIFDELCMD < \mathcal{O}\left(%%% \frac{1{\epsilon^2}n^{1-2/p}}%DIFDELCMD < \right) %%% bits of space for integers p>2.
<fluency>  For adversarially robust streams, we obtain a (1+\epsilon)-approximation to F_p using%DIFDELCMD < \mathcal{O}\left(%%% \frac{\log n{\epsilon^2}}%DIFDELCMD < \right) %%% bits of space for p\in[0,2] and using%DIFDELCMD < \mathcal{O}\left(%%% \frac{1{\epsilon^2}n^{1-2/p}}%DIFDELCMD < \right) %%% bits of space for integers p>2.
 For adversarially robust streams, we obtain a (1+\epsilon)-approximation to F_p using%DIFDELCMD < \mathcal{O}\left(%%% \frac{\log n{\epsilon^2}}%DIFDELCMD < \right) %%% bits of space for p\in[0,2] and using%DIFDELCMD < \mathcal{O}\left(%%% {\epsilon^2}n^{1-2/p}}%DIFDELCMD < \right) %%% bits of space for integers p>2.