Streaming algorithms in adversarial settings have attracted considerable attention recently. We show that, in the white-box adversarial streaming model [ABJ+22], the fundamental problem of estimating the $F_p$ moment to within any constant factor requires $\Omega(n)$ memory. In this model, the internal state of the (randomized) streaming algorithm is visible to ... more >>>

We consider (almost) $k$-wise independent hash functions, whose evaluations on any $k$ inputs are (almost) uniformly random, for very large values of $k$. Such hash functions need to have a large key that grows linearly with $k$. However, it may be possible to evaluate them in sub-linear time by ... more >>>

We give new explicit constructions of several fundamental objects in linear-algebraic pseudorandomness and combinatorics, including lossless rank extractors, weak subspace designs, and strong $s$-blocking sets over finite fields.

Our focus is on the small-field regime, where the field size depends only on a secondary parameter (such as the rank or ... more >>>