For a polynomial $f$ from a class $\mathcal{C}$ of polynomials, we show that the problem to compute all the constant degree irreducible factors of $f$ reduces in polynomial time to polynomial identity tests (PIT) for class $\mathcal{C}$ and divisibility tests of $f$ by constant degree polynomials. We apply the result ... more >>>

In this work, we study the problem of testing $m$-\emph{grainedness} of probability distributions over an $n$-element universe $\mathcal{U}$, or, equivalently, of whether a probability distribution is induced by a multiset $S\subseteq \mathcal{U}$ of size $|S|=m$. Recently, Goldreich and Ron (Computational Complexity, 2023) proved that $\Omega(n^c)$ samples are necessary for testing ... more >>>

We consider a generalization of the Learning With Error problem, referred to as the white-box learning problem: You are given the code of a sampler that with high probability produces samples of the form $y, f (y) + \epsilon$ where $\epsilon$ is small, and $f$ is computable in polynomial-size, and ... more >>>